Human features detection in video surveillance

OpenAIRE

Barbosa, Patrícia Margarida Silva de Castro Neves

2016-01-01

Dissertação de mestrado integrado em Engenharia Eletrónica Industrial e Computadores Human activity recognition algorithms have been studied actively from decades using a sequence of 2D and 3D images from a video surveillance. This new surveillance solutions and the areas of image processing and analysis have been receiving special attention and interest from the scientific community. Thus, it became possible to witness the appearance of new video compression techniques, the tr...

Security and Privacy in Video Surveillance: Requirements and Challenges

DEFF Research Database (Denmark)

Mahmood Rajpoot, Qasim; Jensen, Christian D.

2014-01-01

observed by the system. Several techniques to protect the privacy of individuals have therefore been proposed, but very little research work has focused on the specific security requirements of video surveillance data (in transit or in storage) and on authorizing access to this data. In this paper, we...... present a general model of video surveillance systems that will help identify the major security and privacy requirements for a video surveillance system and we use this model to identify practical challenges in ensuring the security of video surveillance data in all stages (in transit and at rest). Our...... study shows a gap between the identified security requirements and the proposed security solutions where future research efforts may focus in this domain....

Hierarchical video surveillance architecture: a chassis for video big data analytics and exploration

Science.gov (United States)

Ajiboye, Sola O.; Birch, Philip; Chatwin, Christopher; Young, Rupert

2015-03-01

There is increasing reliance on video surveillance systems for systematic derivation, analysis and interpretation of the data needed for predicting, planning, evaluating and implementing public safety. This is evident from the massive number of surveillance cameras deployed across public locations. For example, in July 2013, the British Security Industry Association (BSIA) reported that over 4 million CCTV cameras had been installed in Britain alone. The BSIA also reveal that only 1.5% of these are state owned. In this paper, we propose a framework that allows access to data from privately owned cameras, with the aim of increasing the efficiency and accuracy of public safety planning, security activities, and decision support systems that are based on video integrated surveillance systems. The accuracy of results obtained from government-owned public safety infrastructure would improve greatly if privately owned surveillance systems `expose' relevant video-generated metadata events, such as triggered alerts and also permit query of a metadata repository. Subsequently, a police officer, for example, with an appropriate level of system permission can query unified video systems across a large geographical area such as a city or a country to predict the location of an interesting entity, such as a pedestrian or a vehicle. This becomes possible with our proposed novel hierarchical architecture, the Fused Video Surveillance Architecture (FVSA). At the high level, FVSA comprises of a hardware framework that is supported by a multi-layer abstraction software interface. It presents video surveillance systems as an adapted computational grid of intelligent services, which is integration-enabled to communicate with other compatible systems in the Internet of Things (IoT).

Secure and Efficient Reactive Video Surveillance for Patient Monitoring

Directory of Open Access Journals (Sweden)

An Braeken

2016-01-01

Full Text Available Video surveillance is widely deployed for many kinds of monitoring applications in healthcare and assisted living systems. Security and privacy are two promising factors that align the quality and validity of video surveillance systems with the caliber of patient monitoring applications. In this paper, we propose a symmetric key-based security framework for the reactive video surveillance of patients based on the inputs coming from data measured by a wireless body area network attached to the human body. Only authenticated patients are able to activate the video cameras, whereas the patient and authorized people can consult the video data. User and location privacy are at each moment guaranteed for the patient. A tradeoff between security and quality of service is defined in order to ensure that the surveillance system gets activated even in emergency situations. In addition, the solution includes resistance against tampering with the device on the patient’s side.

Portable digital video surveillance system for monitoring flower-visiting bumblebees

Directory of Open Access Journals (Sweden)

Thorsdatter Orvedal Aase, Anne Lene

2011-08-01

Full Text Available In this study we used a portable event-triggered video surveillance system for monitoring flower-visiting bumblebees. The system consist of mini digital recorder (mini-DVR with a video motion detection (VMD sensor which detects changes in the image captured by the camera, the intruder triggers the recording immediately. The sensitivity and the detection area are adjustable, which may prevent unwanted recordings. To our best knowledge this is the first study using VMD sensor to monitor flower-visiting insects. Observation of flower-visiting insects has traditionally been monitored by direct observations, which is time demanding, or by continuous video monitoring, which demands a great effort in reviewing the material. A total of 98.5 monitoring hours were conducted. For the mini-DVR with VMD, a total of 35 min were spent reviewing the recordings to locate 75 pollinators, which means ca. 0.35 sec reviewing per monitoring hr. Most pollinators in the order Hymenoptera were identified to species or group level, some were only classified to family (Apidae or genus (Bombus. The use of the video monitoring system described in the present paper could result in a more efficient data sampling and reveal new knowledge to pollination ecology (e.g. species identification and pollinating behaviour.

Privacy enabling technology for video surveillance

Science.gov (United States)

Dufaux, Frédéric; Ouaret, Mourad; Abdeljaoued, Yousri; Navarro, Alfonso; Vergnenègre, Fabrice; Ebrahimi, Touradj

2006-05-01

In this paper, we address the problem privacy in video surveillance. We propose an efficient solution based on transformdomain scrambling of regions of interest in a video sequence. More specifically, the sign of selected transform coefficients is flipped during encoding. We address more specifically the case of Motion JPEG 2000. Simulation results show that the technique can be successfully applied to conceal information in regions of interest in the scene while providing with a good level of security. Furthermore, the scrambling is flexible and allows adjusting the amount of distortion introduced. This is achieved with a small impact on coding performance and negligible computational complexity increase. In the proposed video surveillance system, heterogeneous clients can remotely access the system through the Internet or 2G/3G mobile phone network. Thanks to the inherently scalable Motion JPEG 2000 codestream, the server is able to adapt the resolution and bandwidth of the delivered video depending on the usage environment of the client.

Automated video surveillance: teaching an old dog new tricks

Science.gov (United States)

McLeod, Alastair

1993-12-01

The automated video surveillance market is booming with new players, new systems, new hardware and software, and an extended range of applications. This paper reviews available technology, and describes the features required for a good automated surveillance system. Both hardware and software are discussed. An overview of typical applications is also given. A shift towards PC-based hybrid systems, use of parallel processing, neural networks, and exploitation of modern telecomms are introduced, highlighting the evolution modern video surveillance systems.

Video technical characteristics and recommendations for optical surveillance

International Nuclear Information System (INIS)

Wilson, G.L.; Whichello, J.V.

1991-01-01

The application of new video surveillance electronics to safeguards has introduced an urgent need to formulate and adopt video standards that will ensure the highest possible video quality and the orderly introduction of data insertion. Standards will provide guidance in the application of image processing and digital techniques. Realistic and practical standards are a benefit to the IAEA, Member States, Support Programme equipment developers and facility operators, as they assist in the efficient utilisation of available resources. Moreover, standards shall provide a clear path for orderly introduction of newer technologies, whilst ensuring authentication and verification of the original image through the video process. Standards emerging from IAEA are an outcome of experience based on current knowledge, both within the safeguards arena and the video parent industry which comprises commercial and professional television. This paper provides a brief synopsis of recent developments which have highlighted the need for a surveillance based video standard together with a brief outline of these standards

Video sensor architecture for surveillance applications.

Science.gov (United States)

Sánchez, Jordi; Benet, Ginés; Simó, José E

2012-01-01

This paper introduces a flexible hardware and software architecture for a smart video sensor. This sensor has been applied in a video surveillance application where some of these video sensors are deployed, constituting the sensory nodes of a distributed surveillance system. In this system, a video sensor node processes images locally in order to extract objects of interest, and classify them. The sensor node reports the processing results to other nodes in the cloud (a user or higher level software) in the form of an XML description. The hardware architecture of each sensor node has been developed using two DSP processors and an FPGA that controls, in a flexible way, the interconnection among processors and the image data flow. The developed node software is based on pluggable components and runs on a provided execution run-time. Some basic and application-specific software components have been developed, in particular: acquisition, segmentation, labeling, tracking, classification and feature extraction. Preliminary results demonstrate that the system can achieve up to 7.5 frames per second in the worst case, and the true positive rates in the classification of objects are better than 80%.

Video Sensor Architecture for Surveillance Applications

Directory of Open Access Journals (Sweden)

José E. Simó

2012-02-01

Full Text Available This paper introduces a flexible hardware and software architecture for a smart video sensor. This sensor has been applied in a video surveillance application where some of these video sensors are deployed, constituting the sensory nodes of a distributed surveillance system. In this system, a video sensor node processes images locally in order to extract objects of interest, and classify them. The sensor node reports the processing results to other nodes in the cloud (a user or higher level software in the form of an XML description. The hardware architecture of each sensor node has been developed using two DSP processors and an FPGA that controls, in a flexible way, the interconnection among processors and the image data flow. The developed node software is based on pluggable components and runs on a provided execution run-time. Some basic and application-specific software components have been developed, in particular: acquisition, segmentation, labeling, tracking, classification and feature extraction. Preliminary results demonstrate that the system can achieve up to 7.5 frames per second in the worst case, and the true positive rates in the classification of objects are better than 80%.

Parallel Key Frame Extraction for Surveillance Video Service in a Smart City.

Science.gov (United States)

Zheng, Ran; Yao, Chuanwei; Jin, Hai; Zhu, Lei; Zhang, Qin; Deng, Wei

2015-01-01

Surveillance video service (SVS) is one of the most important services provided in a smart city. It is very important for the utilization of SVS to provide design efficient surveillance video analysis techniques. Key frame extraction is a simple yet effective technique to achieve this goal. In surveillance video applications, key frames are typically used to summarize important video content. It is very important and essential to extract key frames accurately and efficiently. A novel approach is proposed to extract key frames from traffic surveillance videos based on GPU (graphics processing units) to ensure high efficiency and accuracy. For the determination of key frames, motion is a more salient feature in presenting actions or events, especially in surveillance videos. The motion feature is extracted in GPU to reduce running time. It is also smoothed to reduce noise, and the frames with local maxima of motion information are selected as the final key frames. The experimental results show that this approach can extract key frames more accurately and efficiently compared with several other methods.

Parallel Key Frame Extraction for Surveillance Video Service in a Smart City.

Directory of Open Access Journals (Sweden)

Ran Zheng

Full Text Available Surveillance video service (SVS is one of the most important services provided in a smart city. It is very important for the utilization of SVS to provide design efficient surveillance video analysis techniques. Key frame extraction is a simple yet effective technique to achieve this goal. In surveillance video applications, key frames are typically used to summarize important video content. It is very important and essential to extract key frames accurately and efficiently. A novel approach is proposed to extract key frames from traffic surveillance videos based on GPU (graphics processing units to ensure high efficiency and accuracy. For the determination of key frames, motion is a more salient feature in presenting actions or events, especially in surveillance videos. The motion feature is extracted in GPU to reduce running time. It is also smoothed to reduce noise, and the frames with local maxima of motion information are selected as the final key frames. The experimental results show that this approach can extract key frames more accurately and efficiently compared with several other methods.

Possibilities of Applying Video Surveillance and other ICT Tools and Services in the Production Process

Directory of Open Access Journals (Sweden)

Adis Rahmanović

2018-02-01

Full Text Available The paper presents the possibilities of applying Video surveillance and other ICT tools and services in the production process. The first part of the paper presented the system for controlling video surveillance for and the given opportunity of application of video surveillance for the security of the employees and the assets. In the second part of the paper an analysis of the system for controlling production is given and then a video surveillance of a work excavator. The next part of the paper presents integration of video surveillance and the accompanying tools. At the end of the paper, suggestions were also given for further works in the field of data protection and cryptography in video surveillance use.

Robust feedback zoom tracking for digital video surveillance.

Science.gov (United States)

Zou, Tengyue; Tang, Xiaoqi; Song, Bao; Wang, Jin; Chen, Jihong

2012-01-01

Zoom tracking is an important function in video surveillance, particularly in traffic management and security monitoring. It involves keeping an object of interest in focus during the zoom operation. Zoom tracking is typically achieved by moving the zoom and focus motors in lenses following the so-called "trace curve", which shows the in-focus motor positions versus the zoom motor positions for a specific object distance. The main task of a zoom tracking approach is to accurately estimate the trace curve for the specified object. Because a proportional integral derivative (PID) controller has historically been considered to be the best controller in the absence of knowledge of the underlying process and its high-quality performance in motor control, in this paper, we propose a novel feedback zoom tracking (FZT) approach based on the geometric trace curve estimation and PID feedback controller. The performance of this approach is compared with existing zoom tracking methods in digital video surveillance. The real-time implementation results obtained on an actual digital video platform indicate that the developed FZT approach not only solves the traditional one-to-many mapping problem without pre-training but also improves the robustness for tracking moving or switching objects which is the key challenge in video surveillance.

Video surveillance using distance maps

Science.gov (United States)

Schouten, Theo E.; Kuppens, Harco C.; van den Broek, Egon L.

2006-02-01

Human vigilance is limited; hence, automatic motion and distance detection is one of the central issues in video surveillance. Hereby, many aspects are of importance, this paper specially addresses: efficiency, achieving real-time performance, accuracy, and robustness against various noise factors. To obtain fully controlled test environments, an artificial development center for robot navigation is introduced in which several parameters can be set (e.g., number of objects, trajectories and type and amount of noise). In the videos, for each following frame, movement of stationary objects is detected and pixels of moving objects are located from which moving objects are identified in a robust way. An Exact Euclidean Distance Map (E2DM) is utilized to determine accurately the distances between moving and stationary objects. Together with the determined distances between moving objects and the detected movement of stationary objects, this provides the input for detecting unwanted situations in the scene. Further, each intelligent object (e.g., a robot), is provided with its E2DM, allowing the object to plan its course of action. Timing results are specified for each program block of the processing chain for 20 different setups. So, the current paper presents extensive, experimentally controlled research on real-time, accurate, and robust motion detection for video surveillance, using E2DMs, which makes it a unique approach.

Applied learning-based color tone mapping for face recognition in video surveillance system

Science.gov (United States)

Yew, Chuu Tian; Suandi, Shahrel Azmin

2012-04-01

In this paper, we present an applied learning-based color tone mapping technique for video surveillance system. This technique can be applied onto both color and grayscale surveillance images. The basic idea is to learn the color or intensity statistics from a training dataset of photorealistic images of the candidates appeared in the surveillance images, and remap the color or intensity of the input image so that the color or intensity statistics match those in the training dataset. It is well known that the difference in commercial surveillance cameras models, and signal processing chipsets used by different manufacturers will cause the color and intensity of the images to differ from one another, thus creating additional challenges for face recognition in video surveillance system. Using Multi-Class Support Vector Machines as the classifier on a publicly available video surveillance camera database, namely SCface database, this approach is validated and compared to the results of using holistic approach on grayscale images. The results show that this technique is suitable to improve the color or intensity quality of video surveillance system for face recognition.

Replicas Strategy and Cache Optimization of Video Surveillance Systems Based on Cloud Storage

Directory of Open Access Journals (Sweden)

Rongheng Li

2018-04-01

Full Text Available With the rapid development of video surveillance technology, especially the popularity of cloud-based video surveillance applications, video data begins to grow explosively. However, in the cloud-based video surveillance system, replicas occupy an amount of storage space. Also, the slow response to video playback constrains the performance of the system. In this paper, considering the characteristics of video data comprehensively, we propose a dynamic redundant replicas mechanism based on security levels that can dynamically adjust the number of replicas. Based on the location correlation between cameras, this paper also proposes a data cache strategy to improve the response speed of data reading. Experiments illustrate that: (1 our dynamic redundant replicas mechanism can save storage space while ensuring data security; (2 the cache mechanism can predict the playback behaviors of the users in advance and improve the response speed of data reading according to the location and time correlation of the front-end cameras; and (3 in terms of cloud-based video surveillance, our proposed approaches significantly outperform existing methods.

Detection of Upscale-Crop and Partial Manipulation in Surveillance Video Based on Sensor Pattern Noise

Science.gov (United States)

Hyun, Dai-Kyung; Ryu, Seung-Jin; Lee, Hae-Yeoun; Lee, Heung-Kyu

2013-01-01

In many court cases, surveillance videos are used as significant court evidence. As these surveillance videos can easily be forged, it may cause serious social issues, such as convicting an innocent person. Nevertheless, there is little research being done on forgery of surveillance videos. This paper proposes a forensic technique to detect forgeries of surveillance video based on sensor pattern noise (SPN). We exploit the scaling invariance of the minimum average correlation energy Mellin radial harmonic (MACE-MRH) correlation filter to reliably unveil traces of upscaling in videos. By excluding the high-frequency components of the investigated video and adaptively choosing the size of the local search window, the proposed method effectively localizes partially manipulated regions. Empirical evidence from a large database of test videos, including RGB (Red, Green, Blue)/infrared video, dynamic-/static-scene video and compressed video, indicates the superior performance of the proposed method. PMID:24051524

A Joint Watermarking and ROI Coding Scheme for Annotating Traffic Surveillance Videos

Directory of Open Access Journals (Sweden)

Su Po-Chyi

2010-01-01

Full Text Available We propose a new application of information hiding by employing the digital watermarking techniques to facilitate the data annotation in traffic surveillance videos. There are two parts in the proposed scheme. The first part is the object-based watermarking, in which the information of each vehicle collected by the intelligent transportation system will be conveyed/stored along with the visual data via information hiding. The scheme is integrated with H.264/AVC, which is assumed to be adopted by the surveillance system, to achieve an efficient implementation. The second part is a Region of Interest (ROI rate control mechanism for encoding traffic surveillance videos, which helps to improve the overall performance. The quality of vehicles in the video will be better preserved and a good rate-distortion performance can be attained. Experimental results show that this potential scheme works well in traffic surveillance videos.

Kalman Filter Based Tracking in an Video Surveillance System

Directory of Open Access Journals (Sweden)

SULIMAN, C.

2010-05-01

Full Text Available In this paper we have developed a Matlab/Simulink based model for monitoring a contact in a video surveillance sequence. For the segmentation process and corect identification of a contact in a surveillance video, we have used the Horn-Schunk optical flow algorithm. The position and the behavior of the correctly detected contact were monitored with the help of the traditional Kalman filter. After that we have compared the results obtained from the optical flow method with the ones obtained from the Kalman filter, and we show the correct functionality of the Kalman filter based tracking. The tests were performed using video data taken with the help of a fix camera. The tested algorithm has shown promising results.

FPGA-Based Real-Time Motion Detection for Automated Video Surveillance Systems

Directory of Open Access Journals (Sweden)

Sanjay Singh

2016-03-01

Full Text Available Design of automated video surveillance systems is one of the exigent missions in computer vision community because of their ability to automatically select frames of interest in incoming video streams based on motion detection. This research paper focuses on the real-time hardware implementation of a motion detection algorithm for such vision based automated surveillance systems. A dedicated VLSI architecture has been proposed and designed for clustering-based motion detection scheme. The working prototype of a complete standalone automated video surveillance system, including input camera interface, designed motion detection VLSI architecture, and output display interface, with real-time relevant motion detection capabilities, has been implemented on Xilinx ML510 (Virtex-5 FX130T FPGA platform. The prototyped system robustly detects the relevant motion in real-time in live PAL (720 × 576 resolution video streams directly coming from the camera.

Secure Video Surveillance System (SVSS) for unannounced safeguards inspections

International Nuclear Information System (INIS)

Galdoz, Erwin G.; Pinkalla, Mark

2010-01-01

The Secure Video Surveillance System (SVSS) is a collaborative effort between the U.S. Department of Energy (DOE), Sandia National Laboratories (SNL), and the Brazilian-Argentine Agency for Accounting and Control of Nuclear Materials (ABACC). The joint project addresses specific requirements of redundant surveillance systems installed in two South American nuclear facilities as a tool to support unannounced inspections conducted by ABACC and the International Atomic Energy Agency (IAEA). The surveillance covers the critical time (as much as a few hours) between the notification of an inspection and the access of inspectors to the location in facility where surveillance equipment is installed. ABACC and the IAEA currently use the EURATOM Multiple Optical Surveillance System (EMOSS). This outdated system is no longer available or supported by the manufacturer. The current EMOSS system has met the project objective; however, the lack of available replacement parts and system support has made this system unsustainable and has increased the risk of an inoperable system. A new system that utilizes current technology and is maintainable is required to replace the aging EMOSS system. ABACC intends to replace one of the existing ABACC EMOSS systems by the Secure Video Surveillance System. SVSS utilizes commercial off-the shelf (COTS) technologies for all individual components. Sandia National Laboratories supported the system design for SVSS to meet Safeguards requirements, i.e. tamper indication, data authentication, etc. The SVSS consists of two video surveillance cameras linked securely to a data collection unit. The collection unit is capable of retaining historical surveillance data for at least three hours with picture intervals as short as 1sec. Images in .jpg format are available to inspectors using various software review tools. SNL has delivered two SVSS systems for test and evaluation at the ABACC Safeguards Laboratory. An additional 'proto-type' system remains

Scintillation mitigation for long-range surveillance video

CSIR Research Space (South Africa)

Delport, JP

2010-09-01

Full Text Available Atmospheric turbulence is a naturally occurring phenomenon that can severely degrade the quality of long-range surveillance video footage. Major effects include image blurring, image warping and temporal wavering of objects in the scene. Mitigating...

Summarization of Surveillance Video Sequences Using Face Quality Assessment

DEFF Research Database (Denmark)

Nasrollahi, Kamal; Moeslund, Thomas B.; Rahmati, Mohammad

2011-01-01

Constant working surveillance cameras in public places, such as airports and banks, produce huge amount of video data. Faces in such videos can be extracted in real time. However, most of these detected faces are either redundant or useless. Redundant information adds computational costs to facial...

Fast compressed domain motion detection in H.264 video streams for video surveillance applications

DEFF Research Database (Denmark)

Szczerba, Krzysztof; Forchhammer, Søren; Støttrup-Andersen, Jesper

2009-01-01

This paper presents a novel approach to fast motion detection in H.264/MPEG-4 advanced video coding (AVC) compressed video streams for IP video surveillance systems. The goal is to develop algorithms which may be useful in a real-life industrial perspective by facilitating the processing of large...... on motion vectors embedded in the video stream without requiring a full decoding and reconstruction of video frames. To improve the robustness to noise, a confidence measure based on temporal and spatial clues is introduced to increase the probability of correct detection. The algorithm was tested on indoor...

Coral Reef Surveillance: Infrared-Sensitive Video Surveillance Technology as a New Tool for Diurnal and Nocturnal Long-Term Field Observations.

Science.gov (United States)

Dirnwoeber, Markus; Machan, Rudolf; Herler, Juergen

2012-10-31

Direct field observations of fine-scaled biological processes and interactions of the benthic community of corals and associated reef organisms (e.g., feeding, reproduction, mutualistic or agonistic behavior, behavioral responses to changing abiotic factors) usually involve a disturbing intervention. Modern digital camcorders (without inflexible land-or ship-based cable connection) such as the GoPro camera enable undisturbed and unmanned, stationary close-up observations. Such observations, however, are also very time-limited (~3 h) and full 24 h-recordings throughout day and night, including nocturnal observations without artificial daylight illumination, are not possible. Herein we introduce the application of modern standard video surveillance technology with the main objective of providing a tool for monitoring coral reef or other sessile and mobile organisms for periods of 24 h and longer. This system includes nocturnal close-up observations with miniature infrared (IR)-sensitive cameras and separate high-power IR-LEDs. Integrating this easy-to-set up and portable remote-sensing equipment into coral reef research is expected to significantly advance our understanding of fine-scaled biotic processes on coral reefs. Rare events and long-lasting processes can easily be recorded, in situ -experiments can be monitored live on land, and nocturnal IR-observations reveal undisturbed behavior. The options and equipment choices in IR-sensitive surveillance technology are numerous and subject to a steadily increasing technical supply and quality at decreasing prices. Accompanied by short video examples, this report introduces a radio-transmission system for simultaneous recordings and real-time monitoring of multiple cameras with synchronized timestamps, and a surface-independent underwater-recording system.

Performance Evaluations for Super-Resolution Mosaicing on UAS Surveillance Videos

Directory of Open Access Journals (Sweden)

Aldo Camargo

2013-05-01

Full Text Available Abstract Unmanned Aircraft Systems (UAS have been widely applied for reconnaissance and surveillance by exploiting information collected from the digital imaging payload. The super-resolution (SR mosaicing of low-resolution (LR UAS surveillance video frames has become a critical requirement for UAS video processing and is important for further effective image understanding. In this paper we develop a novel super-resolution framework, which does not require the construction of sparse matrices. The proposed method implements image operations in the spatial domain and applies an iterated back-projection to construct super-resolution mosaics from the overlapping UAS surveillance video frames. The Steepest Descent method, the Conjugate Gradient method and the Levenberg-Marquardt algorithm are used to numerically solve the nonlinear optimization problem for estimating a super-resolution mosaic. A quantitative performance comparison in terms of computation time and visual quality of the super-resolution mosaics through the three numerical techniques is presented.

Authentication Approaches for Standoff Video Surveillance

International Nuclear Information System (INIS)

Baldwin, G.; Sweatt, W.; Thomas, M.

2015-01-01

Video surveillance for international nuclear safeguards applications requires authentication, which confirms to an inspector reviewing the surveillance images that both the source and the integrity of those images can be trusted. To date, all such authentication approaches originate at the camera. Camera authentication would not suffice for a ''standoff video'' application, where the surveillance camera views an image piped to it from a distant objective lens. Standoff video might be desired in situations where it does not make sense to expose sensitive and costly camera electronics to contamination, radiation, water immersion, or other adverse environments typical of hot cells, reprocessing facilities, and within spent fuel pools, for example. In this paper, we offer optical architectures that introduce a standoff distance of several metres between the scene and camera. Several schemes enable one to authenticate not only that the extended optical path is secure, but also that the scene is being viewed live. They employ optical components with remotely-operated spectral, temporal, directional, and intensity properties that are under the control of the inspector. If permitted by the facility operator, illuminators, reflectors and polarizers placed in the scene offer further possibilities. Any tampering that would insert an alternative image source for the camera, although undetectable with conventional cryptographic authentication of digital camera data, is easily exposed using the approaches we describe. Sandia National Laboratories is a multi-programme laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-AC04-94AL85000. Support to Sandia National Laboratories provided by the NNSA Next Generation Safeguards Initiative is gratefully acknowledged. SAND2014-3196 A. (author)

Video auto stitching in multicamera surveillance system

Science.gov (United States)

He, Bin; Zhao, Gang; Liu, Qifang; Li, Yangyang

2012-01-01

This paper concerns the problem of video stitching automatically in a multi-camera surveillance system. Previous approaches have used multiple calibrated cameras for video mosaic in large scale monitoring application. In this work, we formulate video stitching as a multi-image registration and blending problem, and not all cameras are needed to be calibrated except a few selected master cameras. SURF is used to find matched pairs of image key points from different cameras, and then camera pose is estimated and refined. Homography matrix is employed to calculate overlapping pixels and finally implement boundary resample algorithm to blend images. The result of simulation demonstrates the efficiency of our method.

A Method for Estimating Surveillance Video Georeferences

Directory of Open Access Journals (Sweden)

Aleksandar Milosavljević

2017-07-01

Full Text Available The integration of a surveillance camera video with a three-dimensional (3D geographic information system (GIS requires the georeferencing of that video. Since a video consists of separate frames, each frame must be georeferenced. To georeference a video frame, we rely on the information about the camera view at the moment that the frame was captured. A camera view in 3D space is completely determined by the camera position, orientation, and field-of-view. Since the accurate measuring of these parameters can be extremely difficult, in this paper we propose a method for their estimation based on matching video frame coordinates of certain point features with their 3D geographic locations. To obtain these coordinates, we rely on high-resolution orthophotos and digital elevation models (DEM of the area of interest. Once an adequate number of points are matched, Levenberg–Marquardt iterative optimization is applied to find the most suitable video frame georeference, i.e., position and orientation of the camera.

3D reconstruction of cystoscopy videos for comprehensive bladder records.

Science.gov (United States)

Lurie, Kristen L; Angst, Roland; Zlatev, Dimitar V; Liao, Joseph C; Ellerbee Bowden, Audrey K

2017-04-01

White light endoscopy is widely used for diagnostic imaging of the interior of organs and body cavities, but the inability to correlate individual 2D images with 3D organ morphology limits its utility for quantitative or longitudinal studies of disease physiology or cancer surveillance. As a result, most endoscopy videos, which carry enormous data potential, are used only for real-time guidance and are discarded after collection. We present a computational method to reconstruct and visualize a 3D model of organs from an endoscopic video that captures the shape and surface appearance of the organ. A key aspect of our strategy is the use of advanced computer vision techniques and unmodified, clinical-grade endoscopy hardware with few constraints on the image acquisition protocol, which presents a low barrier to clinical translation. We validate the accuracy and robustness of our reconstruction and co-registration method using cystoscopy videos from tissue-mimicking bladder phantoms and show clinical utility during cystoscopy in the operating room for bladder cancer evaluation. As our method can powerfully augment the visual medical record of the appearance of internal organs, it is broadly applicable to endoscopy and represents a significant advance in cancer surveillance opportunities for big-data cancer research.

Automated Video Surveillance for the Study of Marine Mammal Behavior and Cognition

Directory of Open Access Journals (Sweden)

Jeremy Karnowski

2016-11-01

Full Text Available Systems for detecting and tracking social marine mammals, including dolphins, can provide data to help explain their social dynamics, predict their behavior, and measure the impact of human interference. Data collected from video surveillance methods can be consistently and systematically sampled for studies of behavior, and frame-by-frame analyses can uncover insights impossible to observe from real-time, freely occurring natural behavior. Advances in boat-based, aerial, and underwater recording platforms provide opportunities to document the behavior of marine mammals and create massive datasets. The use of human experts to detect, track, identify individuals, and recognize activity in video demands significant time and financial investment. This paper examines automated methods designed to analyze large video corpora containing marine mammals. While research is converging on best solutions for some automated tasks, particularly detection and classification, many research domains are ripe for exploration.

A generic flexible and robust approach for intelligent real-time video-surveillance systems

Science.gov (United States)

Desurmont, Xavier; Delaigle, Jean-Francois; Bastide, Arnaud; Macq, Benoit

2004-05-01

In this article we present a generic, flexible and robust approach for an intelligent real-time video-surveillance system. A previous version of the system was presented in [1]. The goal of these advanced tools is to provide help to operators by detecting events of interest in visual scenes and highlighting alarms and compute statistics. The proposed system is a multi-camera platform able to handle different standards of video inputs (composite, IP, IEEE1394 ) and which can basically compress (MPEG4), store and display them. This platform also integrates advanced video analysis tools, such as motion detection, segmentation, tracking and interpretation. The design of the architecture is optimised to playback, display, and process video flows in an efficient way for video-surveillance application. The implementation is distributed on a scalable computer cluster based on Linux and IP network. It relies on POSIX threads for multitasking scheduling. Data flows are transmitted between the different modules using multicast technology and under control of a TCP-based command network (e.g. for bandwidth occupation control). We report here some results and we show the potential use of such a flexible system in third generation video surveillance system. We illustrate the interest of the system in a real case study, which is the indoor surveillance.

Impact of Mini-drone based Video Surveillance on Invasion of Privacy

OpenAIRE

Korshunov, Pavel; Bonetto, Margherita; Ebrahimi, Touradj; Ramponi, Giovanni

2015-01-01

An increase in adoption of video surveillance, affecting many aspects of daily lives, raises public concern about an intrusion into individual privacy. New sensing and surveillance technologies, such as mini-drones, threaten to eradicate boundaries of private space even more. Therefore, it is important to study the effect of mini-drones on privacy intrusion and to understand how existing protection privacy filters perform on a video captured by a mini-drone. To this end, we have built a publi...

Automatic video surveillance of outdoor scenes using track before detect

DEFF Research Database (Denmark)

Hansen, Morten; Sørensen, Helge Bjarup Dissing; Birkemark, Christian M.

2005-01-01

This paper concerns automatic video surveillance of outdoor scenes using a single camera. The first step in automatic interpretation of the video stream is activity detection based on background subtraction. Usually, this process will generate a large number of false alarms in outdoor scenes due...

Coral Reef Surveillance: Infrared-Sensitive Video Surveillance Technology as a New Tool for Diurnal and Nocturnal Long-Term Field Observations

Directory of Open Access Journals (Sweden)

Juergen Herler

2012-10-01

Full Text Available Direct field observations of fine-scaled biological processes and interactions of the benthic community of corals and associated reef organisms (e.g., feeding, reproduction, mutualistic or agonistic behavior, behavioral responses to changing abiotic factors usually involve a disturbing intervention. Modern digital camcorders (without inflexible land-or ship-based cable connection such as the GoPro camera enable undisturbed and unmanned, stationary close-up observations. Such observations, however, are also very time-limited (~3 h and full 24 h-recordings throughout day and night, including nocturnal observations without artificial daylight illumination, are not possible. Herein we introduce the application of modern standard video surveillance technology with the main objective of providing a tool for monitoring coral reef or other sessile and mobile organisms for periods of 24 h and longer. This system includes nocturnal close-up observations with miniature infrared (IR-sensitive cameras and separate high-power IR-LEDs. Integrating this easy-to-set up and portable remote-sensing equipment into coral reef research is expected to significantly advance our understanding of fine-scaled biotic processes on coral reefs. Rare events and long-lasting processes can easily be recorded, in situ-experiments can be monitored live on land, and nocturnal IR-observations reveal undisturbed behavior. The options and equipment choices in IR-sensitive surveillance technology are numerous and subject to a steadily increasing technical supply and quality at decreasing prices. Accompanied by short video examples, this report introduces a radio-transmission system for simultaneous recordings and real-time monitoring of multiple cameras with synchronized timestamps, and a surface-independent underwater-recording system.

Long-term video surveillance and automated analyses reveal arousal patterns in groups of hibernating bats

Science.gov (United States)

Hayman, David T.S.; Cryan, Paul; Fricker, Paul D.; Dannemiller, Nicholas G.

2017-01-01

Understanding natural behaviours is essential to determining how animals deal with new threats (e.g. emerging diseases). However, natural behaviours of animals with cryptic lifestyles, like hibernating bats, are often poorly characterized. White-nose syndrome (WNS) is an unprecedented disease threatening multiple species of hibernating bats, and pathogen-induced changes to host behaviour may contribute to mortality. To better understand the behaviours of hibernating bats and how they might relate to WNS, we developed new ways of studying hibernation across entire seasons.We used thermal-imaging video surveillance cameras to observe little brown bats (Myotis lucifugus) and Indiana bats (M. sodalis) in two caves over multiple winters. We developed new, sharable software to test for autocorrelation and periodicity of arousal signals in recorded video.We processed 740 days (17,760 hr) of video at a rate of >1,000 hr of video imagery in less than 1 hr using a desktop computer with sufficient resolution to detect increases in arousals during midwinter in both species and clear signals of daily arousal periodicity in infected M. sodalis.Our unexpected finding of periodic synchronous group arousals in hibernating bats demonstrate the potential for video methods and suggest some bats may have innate behavioural strategies for coping with WNS. Surveillance video and accessible analysis software make it now practical to investigate long-term behaviours of hibernating bats and other hard-to-study animals.

An integrated video- and weight-monitoring system for the surveillance of highly enriched uranium blend down operations

International Nuclear Information System (INIS)

Lenarduzzi, R.; Castleberry, K.; Whitaker, M.; Martinez, R.

1998-01-01

An integrated video-surveillance and weight-monitoring system has been designed and constructed for tracking the blending down of weapons-grade uranium by the US Department of Energy. The instrumentation is being used by the International Atomic Energy Agency in its task of tracking and verifying the blended material at the Portsmouth Gaseous Diffusion Plant, Portsmouth, Ohio. The weight instrumentation developed at the Oak Ridge National Laboratory monitors and records the weight of cylinders of the highly enriched uranium as their contents are fed into the blending facility while the video equipment provided by Sandia National Laboratory records periodic and event triggered images of the blending area. A secure data network between the scales, cameras, and computers insures data integrity and eliminates the possibility of tampering. The details of the weight monitoring instrumentation, video- and weight-system interaction, and the secure data network is discussed

Digital video recording and archiving in ophthalmic surgery

Directory of Open Access Journals (Sweden)

Raju Biju

2006-01-01

Full Text Available Currently most ophthalmic operating rooms are equipped with an analog video recording system [analog Charge Couple Device camera for video grabbing and a Video Cassette Recorder for recording]. We discuss the various advantages of a digital video capture device, its archiving capabilities and our experience during the transition from analog to digital video recording and archiving. The basic terminology and concepts related to analog and digital video, along with the choice of hardware, software and formats for archiving are discussed.

Online Nonparametric Bayesian Activity Mining and Analysis From Surveillance Video.

Science.gov (United States)

Bastani, Vahid; Marcenaro, Lucio; Regazzoni, Carlo S

2016-05-01

A method for online incremental mining of activity patterns from the surveillance video stream is presented in this paper. The framework consists of a learning block in which Dirichlet process mixture model is employed for the incremental clustering of trajectories. Stochastic trajectory pattern models are formed using the Gaussian process regression of the corresponding flow functions. Moreover, a sequential Monte Carlo method based on Rao-Blackwellized particle filter is proposed for tracking and online classification as well as the detection of abnormality during the observation of an object. Experimental results on real surveillance video data are provided to show the performance of the proposed algorithm in different tasks of trajectory clustering, classification, and abnormality detection.

Extracting foreground ensemble features to detect abnormal crowd behavior in intelligent video-surveillance systems

Science.gov (United States)

Chan, Yi-Tung; Wang, Shuenn-Jyi; Tsai, Chung-Hsien

2017-09-01

Public safety is a matter of national security and people's livelihoods. In recent years, intelligent video-surveillance systems have become important active-protection systems. A surveillance system that provides early detection and threat assessment could protect people from crowd-related disasters and ensure public safety. Image processing is commonly used to extract features, e.g., people, from a surveillance video. However, little research has been conducted on the relationship between foreground detection and feature extraction. Most current video-surveillance research has been developed for restricted environments, in which the extracted features are limited by having information from a single foreground; they do not effectively represent the diversity of crowd behavior. This paper presents a general framework based on extracting ensemble features from the foreground of a surveillance video to analyze a crowd. The proposed method can flexibly integrate different foreground-detection technologies to adapt to various monitored environments. Furthermore, the extractable representative features depend on the heterogeneous foreground data. Finally, a classification algorithm is applied to these features to automatically model crowd behavior and distinguish an abnormal event from normal patterns. The experimental results demonstrate that the proposed method's performance is both comparable to that of state-of-the-art methods and satisfies the requirements of real-time applications.

Video surveillance captures student hand hygiene behavior, reactivity to observation, and peer influence in Kenyan primary schools.

Directory of Open Access Journals (Sweden)

Amy J Pickering

Full Text Available In-person structured observation is considered the best approach for measuring hand hygiene behavior, yet is expensive, time consuming, and may alter behavior. Video surveillance could be a useful tool for objectively monitoring hand hygiene behavior if validated against current methods.Student hand cleaning behavior was monitored with video surveillance and in-person structured observation, both simultaneously and separately, at four primary schools in urban Kenya over a study period of 8 weeks.Video surveillance and in-person observation captured similar rates of hand cleaning (absolute difference <5%, p = 0.74. Video surveillance documented higher hand cleaning rates (71% when at least one other person was present at the hand cleaning station, compared to when a student was alone (48%; rate ratio  = 1.14 [95% CI 1.01-1.28]. Students increased hand cleaning rates during simultaneous video and in-person monitoring as compared to single-method monitoring, suggesting reactivity to each method of monitoring. This trend was documented at schools receiving a handwashing with soap intervention, but not at schools receiving a sanitizer intervention.Video surveillance of hand hygiene behavior yields results comparable to in-person observation among schools in a resource-constrained setting. Video surveillance also has certain advantages over in-person observation, including rapid data processing and the capability to capture new behavioral insights. Peer influence can significantly improve student hand cleaning behavior and, when possible, should be exploited in the design and implementation of school hand hygiene programs.

Rapid prototyping of an automated video surveillance system: a hardware-software co-design approach

Science.gov (United States)

Ngo, Hau T.; Rakvic, Ryan N.; Broussard, Randy P.; Ives, Robert W.

2011-06-01

FPGA devices with embedded DSP and memory blocks, and high-speed interfaces are ideal for real-time video processing applications. In this work, a hardware-software co-design approach is proposed to effectively utilize FPGA features for a prototype of an automated video surveillance system. Time-critical steps of the video surveillance algorithm are designed and implemented in the FPGAs logic elements to maximize parallel processing. Other non timecritical tasks are achieved by executing a high level language program on an embedded Nios-II processor. Pre-tested and verified video and interface functions from a standard video framework are utilized to significantly reduce development and verification time. Custom and parallel processing modules are integrated into the video processing chain by Altera's Avalon Streaming video protocol. Other data control interfaces are achieved by connecting hardware controllers to a Nios-II processor using Altera's Avalon Memory Mapped protocol.

Power and Surveillance in Video Games

Directory of Open Access Journals (Sweden)

Héctor Puente Bienvenido

2014-08-01

Full Text Available In this article we explore the history of video games (focusing on multiplayer ones, from the perspective of power relationships and the ways in which authority has been excesiced by the game industry and game players over time. From a hierarchical system of power and domain to the increasing flatness of the current structure, we address the systems of control and surveillance. We will finish our display assessing the emergent forms of production and relationships between players and developers.

Normalized Metadata Generation for Human Retrieval Using Multiple Video Surveillance Cameras

Directory of Open Access Journals (Sweden)

Jaehoon Jung

2016-06-01

Full Text Available Since it is impossible for surveillance personnel to keep monitoring videos from a multiple camera-based surveillance system, an efficient technique is needed to help recognize important situations by retrieving the metadata of an object-of-interest. In a multiple camera-based surveillance system, an object detected in a camera has a different shape in another camera, which is a critical issue of wide-range, real-time surveillance systems. In order to address the problem, this paper presents an object retrieval method by extracting the normalized metadata of an object-of-interest from multiple, heterogeneous cameras. The proposed metadata generation algorithm consists of three steps: (i generation of a three-dimensional (3D human model; (ii human object-based automatic scene calibration; and (iii metadata generation. More specifically, an appropriately-generated 3D human model provides the foot-to-head direction information that is used as the input of the automatic calibration of each camera. The normalized object information is used to retrieve an object-of-interest in a wide-range, multiple-camera surveillance system in the form of metadata. Experimental results show that the 3D human model matches the ground truth, and automatic calibration-based normalization of metadata enables a successful retrieval and tracking of a human object in the multiple-camera video surveillance system.

The multi-camera optical surveillance system (MOS)

International Nuclear Information System (INIS)

Otto, P.; Wagner, H.; Richter, B.; Gaertner, K.J.; Laszlo, G.; Neumann, G.

1991-01-01

The transition from film camera to video surveillance systems, in particular the implementation of high capacity multi-camera video systems, results in a large increase in the amount of recorded scenes. Consequently, there is a substantial increase in the manpower requirements for review. Moreover, modern microprocessor controlled equipment facilitates the collection of additional data associated with each scene. Both the scene and the annotated information have to be evaluated by the inspector. The design of video surveillance systems for safeguards necessarily has to account for both appropriate recording and reviewing techniques. An aspect of principal importance is that the video information is stored on tape. Under the German Support Programme to the Agency a technical concept has been developed which aims at optimizing the capabilities of a multi-camera optical surveillance (MOS) system including the reviewing technique. This concept is presented in the following paper including a discussion of reviewing and reliability

Transition to CCTV surveillance for safeguards

International Nuclear Information System (INIS)

Gaertner, K.J.; Heaysman, B.; Kerr, R.E.; Rundquist, D.E.

1987-01-01

After many years of development effort and as a result of regular maintenance the Agency's most important optical surveillance system, the Twin Minolta, has matured to a highly reliable, economic and user friendly equipment. In 1986 its reliability was 95.7%, including human failures. However, because they are no longer available, the Agency is forced to replace the Minolta Super 8 cameras by adequate Closed Circuit Television systems. Ten years of experience with television systems clearly indicate that they must work actively to improve the overall reliability of CCTV systems. The recording units, from the authors experience, are the most critical components. Therefore new systems - already existing or under development - focus on this aspect. The Multiplex TV Surveillance System (MUX), uses redundant time lapse recorders, which are specifically designed for surveillance applications. The Compact Surveillance Monitoring System (COSMOS) will be using low speed time lapse recorders which are specifically developed for still-picture recording surveillance applications. The Modular Integrated Video System (MIVS) will use two redundant 8 mm video recorders to achieve the goal of high reliability. It is their understanding that this intensive consideration of reliability aspects in the design phase will also result in a decrease in maintenance and operational costs for the Agency in the future

Video Surveillance of Epilepsy Patients using Color Image Processing

DEFF Research Database (Denmark)

Bager, Gitte; Vilic, Kenan; Alving, Jørgen

2007-01-01

This report introduces a method for tracking of patients under video surveillance based on a marker system. The patients are not restricted in their movements, which requires a tracking system that can overcome non-ideal scenes e.g. occlusions, very fast movements, lightning issues and other movi...

Video surveillance of epilepsy patients using color image processing

DEFF Research Database (Denmark)

Bager, Gitte; Vilic, Kenan; Vilic, Adnan

2014-01-01

This paper introduces a method for tracking patients under video surveillance based on a color marker system. The patients are not restricted in their movements, which requires a tracking system that can overcome non-ideal scenes e.g. occlusions, very fast movements, lighting issues and other mov...

Video Surveillance using a Multi-Camera Tracking and Fusion System

OpenAIRE

Zhang , Zhong; Scanlon , Andrew; Yin , Weihong; Yu , Li; Venetianer , Péter L.

2008-01-01

International audience; Usage of intelligent video surveillance (IVS) systems is spreading rapidly. These systems are being utilized in a wide range of applications. In most cases, even in multi-camera installations, the video is processed independently in each feed. This paper describes a system that fuses tracking information from multiple cameras, thus vastly expanding its capabilities. The fusion relies on all cameras being calibrated to a site map, while the individual sensors remain lar...

Dedicated data recording video system for Spacelab experiments

Science.gov (United States)

Fukuda, Toshiyuki; Tanaka, Shoji; Fujiwara, Shinji; Onozuka, Kuniharu

1984-04-01

A feasibility study of video tape recorder (VTR) modification to add the capability of data recording etc. was conducted. This system is an on-broad system to support Spacelab experiments as a dedicated video system and a dedicated data recording system to operate independently of the normal operation of the Orbiter, Spacelab and the other experiments. It continuously records the video image signals with the acquired data, status and operator's voice at the same time on one cassette video tape. Such things, the crews' actions, animals' behavior, microscopic views and melting materials in furnace, etc. are recorded. So, it is expected that experimenters can make a very easy and convenient analysis of the synchronized video, voice and data signals in their post flight analysis.

Laser surveillance system (LASSY)

International Nuclear Information System (INIS)

Boeck, H.

1991-09-01

Laser Surveillance System (LASSY) is a beam of laser light which scans a plane above the water or under-water in a spent-fuel pond. The system can detect different objects and estimates its coordinates and distance as well. LASSY can operate in stand-alone configuration or in combination with a video surveillance to trigger signal to a videorecorder. The recorded information on LASSY computer's disk comprises date, time, start and stop angle of detected alarm, the size of the disturbance indicated in number of deviated points and some other information. The information given by the laser system cannot be fully substituted by TV camera pictures since the scanning beam creates a horizontal surveillance plan. The engineered prototype laser system long-term field test has been carried out in Soluggia (Italy) and has shown its feasibility and reliability under the conditions of real spent fuel storage pond. The verification of the alarm table on the LASSY computer with the recorded video pictures of TV surveillance system confirmed that all alarm situations have been detected. 5 refs

Video surveillance in public libraries : A case of unintended consequences?

NARCIS (Netherlands)

Newell, Bryce; Randall, David P.

This paper presents the findings of an exploratory qualitative research study in which we examine why two public libraries have implemented video security systems and why one of these libraries has reversed course and recently removed a previously installed surveillance system.

A Retrieval Optimized Surveillance Video Storage System for Campus Application Scenarios

Directory of Open Access Journals (Sweden)

Shengcheng Ma

2018-01-01

Full Text Available This paper investigates and analyzes the characteristics of video data and puts forward a campus surveillance video storage system with the university campus as the specific application environment. Aiming at the challenge that the content-based video retrieval response time is too long, the key-frame index subsystem is designed. The key frame of the video can reflect the main content of the video. Extracted from the video, key frames are associated with the metadata information to establish the storage index. The key-frame index is used in lookup operations while querying. This method can greatly reduce the amount of video data reading and effectively improves the query’s efficiency. From the above, we model the storage system by a stochastic Petri net (SPN and verify the promotion of query performance by quantitative analysis.

Multi-view video segmentation and tracking for video surveillance

Science.gov (United States)

Mohammadi, Gelareh; Dufaux, Frederic; Minh, Thien Ha; Ebrahimi, Touradj

2009-05-01

Tracking moving objects is a critical step for smart video surveillance systems. Despite the complexity increase, multiple camera systems exhibit the undoubted advantages of covering wide areas and handling the occurrence of occlusions by exploiting the different viewpoints. The technical problems in multiple camera systems are several: installation, calibration, objects matching, switching, data fusion, and occlusion handling. In this paper, we address the issue of tracking moving objects in an environment covered by multiple un-calibrated cameras with overlapping fields of view, typical of most surveillance setups. Our main objective is to create a framework that can be used to integrate objecttracking information from multiple video sources. Basically, the proposed technique consists of the following steps. We first perform a single-view tracking algorithm on each camera view, and then apply a consistent object labeling algorithm on all views. In the next step, we verify objects in each view separately for inconsistencies. Correspondent objects are extracted through a Homography transform from one view to the other and vice versa. Having found the correspondent objects of different views, we partition each object into homogeneous regions. In the last step, we apply the Homography transform to find the region map of first view in the second view and vice versa. For each region (in the main frame and mapped frame) a set of descriptors are extracted to find the best match between two views based on region descriptors similarity. This method is able to deal with multiple objects. Track management issues such as occlusion, appearance and disappearance of objects are resolved using information from all views. This method is capable of tracking rigid and deformable objects and this versatility lets it to be suitable for different application scenarios.

Implications of the law on video recording in clinical practice.

Science.gov (United States)

Henken, Kirsten R; Jansen, Frank Willem; Klein, Jan; Stassen, Laurents P S; Dankelman, Jenny; van den Dobbelsteen, John J

2012-10-01

Technological developments allow for a variety of applications of video recording in health care, including endoscopic procedures. Although the value of video registration is recognized, medicolegal concerns regarding the privacy of patients and professionals are growing. A clear understanding of the legal framework is lacking. Therefore, this research aims to provide insight into the juridical position of patients and professionals regarding video recording in health care practice. Jurisprudence was searched to exemplify legislation on video recording in health care. In addition, legislation was translated for different applications of video in health care found in the literature. Three principles in Western law are relevant for video recording in health care practice: (1) regulations on privacy regarding personal data, which apply to the gathering and processing of video data in health care settings; (2) the patient record, in which video data can be stored; and (3) professional secrecy, which protects the privacy of patients including video data. Practical implementation of these principles in video recording in health care does not exist. Practical regulations on video recording in health care for different specifically defined purposes are needed. Innovations in video capture technology that enable video data to be made anonymous automatically can contribute to protection for the privacy of all the people involved.

Developing Agent-Oriented Video Surveillance System through Agent-Oriented Methodology (AOM

Directory of Open Access Journals (Sweden)

Cheah Wai Shiang

2016-12-01

Full Text Available Agent-oriented methodology (AOM is a comprehensive and unified agent methodology for agent-oriented software development. Although AOM is claimed to be able to cope with a complex system development, it is still not yet determined up to what extent this may be true. Therefore, it is vital to conduct an investigation to validate this methodology. This paper presents the adoption of AOM in developing an agent-oriented video surveillance system (VSS. An intruder handling scenario is designed and implemented through AOM. AOM provides an alternative method to engineer a distributed security system in a systematic manner. It presents the security system at a holistic view; provides a better conceptualization of agent-oriented security system and supports rapid prototyping as well as simulation of video surveillance system.

Improved embedded non-linear processing of video for camera surveillance

NARCIS (Netherlands)

Cvetkovic, S.D.; With, de P.H.N.

2009-01-01

For a real time imaging in surveillance applications, image fidelity is of primary importance to ensure customer confidence. The fidelity is obtained amongst others via dynamic range expansion and video signal enhancement. The dynamic range of the signal needs adaptation, because the sensor signal

Hybrid Video Stabilization for Mobile Vehicle Detection on SURF in Aerial Surveillance

Directory of Open Access Journals (Sweden)

Gao Chunxian

2015-01-01

Full Text Available Detection of moving vehicles in aerial video sequences is of great importance with many promising applications in surveillance, intelligence transportation, or public service applications such as emergency evacuation and policy security. However, vehicle detection is a challenging task due to global camera motion, low resolution of vehicles, and low contrast between vehicles and background. In this paper, we present a hybrid method to efficiently detect moving vehicle in aerial videos. Firstly, local feature extraction and matching were performed to estimate the global motion. It was demonstrated that the Speeded Up Robust Feature (SURF key points were more suitable for the stabilization task. Then, a list of dynamic pixels was obtained and grouped for different moving vehicles by comparing the different optical flow normal. To enhance the precision of detection, some preprocessing methods were applied to the surveillance system, such as road extraction and other features. A quantitative evaluation on real video sequences indicated that the proposed method improved the detection performance significantly.

Enhancing Security and Privacy in Video Surveillance through Role-Oriented Access Control Mechanism

DEFF Research Database (Denmark)

Mahmood Rajpoot, Qasim

sensitive regions, e.g. faces, from the videos. However, very few research efforts have focused on addressing the security aspects of video surveillance data and on authorizing access to this data. Interestingly, while PETs help protect the privacy of individuals, they may also hinder the usefulness....... Pervasive usage of such systems gives substantial powers to those monitoring the videos and poses a threat to the privacy of anyone observed by the system. Aside from protecting privacy from the outside attackers, it is equally important to protect the privacy of individuals from the inside personnel...... involved in monitoring surveillance data to minimize the chances of misuse of the system, e.g. voyeurism. In this context, several techniques to protect the privacy of individuals, called privacy enhancing techniques (PET) have therefore been proposed in the literature which detect and mask the privacy...

Pedestrian detection in video surveillance using fully convolutional YOLO neural network

Science.gov (United States)

Molchanov, V. V.; Vishnyakov, B. V.; Vizilter, Y. V.; Vishnyakova, O. V.; Knyaz, V. A.

2017-06-01

More than 80% of video surveillance systems are used for monitoring people. Old human detection algorithms, based on background and foreground modelling, could not even deal with a group of people, to say nothing of a crowd. Recent robust and highly effective pedestrian detection algorithms are a new milestone of video surveillance systems. Based on modern approaches in deep learning, these algorithms produce very discriminative features that can be used for getting robust inference in real visual scenes. They deal with such tasks as distinguishing different persons in a group, overcome problem with sufficient enclosures of human bodies by the foreground, detect various poses of people. In our work we use a new approach which enables to combine detection and classification tasks into one challenge using convolution neural networks. As a start point we choose YOLO CNN, whose authors propose a very efficient way of combining mentioned above tasks by learning a single neural network. This approach showed competitive results with state-of-the-art models such as FAST R-CNN, significantly overcoming them in speed, which allows us to apply it in real time video surveillance and other video monitoring systems. Despite all advantages it suffers from some known drawbacks, related to the fully-connected layers that obstruct applying the CNN to images with different resolution. Also it limits the ability to distinguish small close human figures in groups which is crucial for our tasks since we work with rather low quality images which often include dense small groups of people. In this work we gradually change network architecture to overcome mentioned above problems, train it on a complex pedestrian dataset and finally get the CNN detecting small pedestrians in real scenes.

Logistical and safeguards aspects related to the introduction and implementation of video surveillance equipment by EURATOM

International Nuclear Information System (INIS)

Chare, P.J.; Wagner, H.G.; Otto, P.; Schenkel, R.

1987-01-01

With the growing availability of reliable video equipment for surveillance applications in safeguards and the disappearance of the Super 8 mm cameras, there will be a period of transition from film camera to video surveillance, a process which started two years ago. This gradual transition, as the film cameras come to the end of their useful lives, will afford the safeguards authorities the opportunity to examine in detail the logistical and procedural changes necessary. This paper examines, on the basis of existing video equipment in use or under development, the differences and problems to be encountered in the approach to surveillance. These problems include tamper resistance of signal transmission, on site and headquarters review, preventative maintenance, reliability, repair, and overall performance evaluation. In addition the advantages and flexibility offered by the introduction of video, such as on site review and increased memory capacity, are also discussed. The paper also considers the overall costs and manpower required by EURATOM for the implementation of the video systems as compared to the existing twin Minolta film camera system to ensure the most efficient use of manpower and equipment

Modular integrated video system (MIVS) review station

International Nuclear Information System (INIS)

Garcia, M.L.

1988-01-01

An unattended video surveillance unit, the Modular Integrated Video System (MIVS), has been developed by Sandia National Laboratories for International Safeguards use. An important support element of this system is a semi-automatic Review Station. Four component modules, including an 8 mm video tape recorder, a 4-inch video monitor, a power supply and control electronics utilizing a liquid crystal display (LCD) are mounted in a suitcase for probability. The unit communicates through the interactive, menu-driven LCD and may be operated on facility power through the world. During surveillance, the MIVS records video information at specified time intervals, while also inserting consecutive scene numbers and tamper event information. Using either of two available modes of operation, the Review Station reads the inserted information and counts the number of missed scenes and/or tamper events encountered on the tapes, and reports this to the user on the LCD. At the end of a review session, the system will summarize the results of the review, stop the recorder, and advise the user of the completion of the review. In addition, the Review Station will check for any video loss on the tape

A video authentication technique

International Nuclear Information System (INIS)

Johnson, C.S.

1987-01-01

Unattended video surveillance systems are particularly vulnerable to the substitution of false video images into the cable that connects the camera to the video recorder. New technology has made it practical to insert a solid state video memory into the video cable, freeze a video image from the camera, and hold this image as long as desired. Various techniques, such as line supervision and sync detection, have been used to detect video cable tampering. The video authentication technique described in this paper uses the actual video image from the camera as the basis for detecting any image substitution made during the transmission of the video image to the recorder. The technique, designed for unattended video systems, can be used for any video transmission system where a two-way digital data link can be established. The technique uses similar microprocessor circuitry at the video camera and at the video recorder to select sample points in the video image for comparison. The gray scale value of these points is compared at the recorder controller and if the values agree within limits, the image is authenticated. If a significantly different image was substituted, the comparison would fail at a number of points and the video image would not be authenticated. The video authentication system can run as a stand-alone system or at the request of another system

32 CFR 637.20 - Security surveillance systems.

Science.gov (United States)

2010-07-01

... 32 National Defense 4 2010-07-01 2010-07-01 true Security surveillance systems. 637.20 Section 637... ENFORCEMENT AND CRIMINAL INVESTIGATIONS MILITARY POLICE INVESTIGATION Investigations § 637.20 Security surveillance systems. Closed circuit video recording systems, to include those with an audio capability, may be...

Clients experience of video recordings of their psychotherapy

DEFF Research Database (Denmark)

Jacobsen, Claus Haugaard; Jensen, Karen Boelt; Madsen, Ninna Skov

the current relatively widespread use video one finds only a very limited numbers empirical study of how these recordings is experienced by the clients. Aim: After a brief discussion of the pro and cons of the use of video recordings this paper presents a qualitative, explorative study of clients’ experiences......Background: Due to the development of technologies and the low costs video recording of psychotherapy sessions have gained ground in training and supervision. While some praise the advantages others decline to use this technological aid for ethical, theoretical or clinical reasons. Despite...

Automation of pharmaceutical warehouse using groups robots with remote climate control and video surveillance

OpenAIRE

Zhuravska, I. M.; Popel, M. I.

2015-01-01

In this paper, we present a complex solution for automation pharmaceutical warehouse, including the implementation of climate-control, video surveillance with remote access to video, robotics selection of medicine with the optimization of the robot motion. We describe all the elements of local area network (LAN) necessary to solve all these problems.

ALGORITHM OF PLACEMENT OF VIDEO SURVEILLANCE CAMERAS AND ITS SOFTWARE IMPLEMENTATION

Directory of Open Access Journals (Sweden)

Loktev Alexey Alexeevich

2012-10-01

Full Text Available Comprehensive distributed safety, control, and monitoring systems applied by companies and organizations of different ownership structure play a substantial role in the present-day society. Video surveillance elements that ensure image processing and decision making in automated or automatic modes are the essential components of new systems. This paper covers the modeling of video surveillance systems installed in buildings, and the algorithm, or pattern, of video camera placement with due account for nearly all characteristics of buildings, detection and recognition facilities, and cameras themselves. This algorithm will be subsequently implemented as a user application. The project contemplates a comprehensive approach to the automatic placement of cameras that take account of their mutual positioning and compatibility of tasks. The project objective is to develop the principal elements of the algorithm of recognition of a moving object to be detected by several cameras. The image obtained by different cameras will be processed. Parameters of motion are to be identified to develop a table of possible options of routes. The implementation of the recognition algorithm represents an independent research project to be covered by a different article. This project consists in the assessment of the degree of complexity of an algorithm of camera placement designated for identification of cases of inaccurate algorithm implementation, as well as in the formulation of supplementary requirements and input data by means of intercrossing sectors covered by neighbouring cameras. The project also contemplates identification of potential problems in the course of development of a physical security and monitoring system at the stage of the project design development and testing. The camera placement algorithm has been implemented as a software application that has already been pilot tested on buildings and inside premises that have irregular dimensions. The

Multi-modal Video Surveillance Aided by Pyroelectric Infrared Sensors

OpenAIRE

Magno , Michele; Tombari , Federico; Brunelli , Davide; Di Stefano , Luigi; Benini , Luca

2008-01-01

International audience; The interest in low-cost and small size video surveillance systems able to collaborate in a network has been increasing over the last years. Thanks to the progress in low-power design, research has greatly reduced the size and the power consumption of such distributed embedded systems providing flexibility, quick deployment and allowing the implementation of effective vision algorithms performing image processing directly on the embedded node. In this paper we present ...

ViCoMo : visual context modeling for scene understanding in video surveillance

NARCIS (Netherlands)

Creusen, I.M.; Javanbakhti, S.; Loomans, M.J.H.; Hazelhoff, L.; Roubtsova, N.S.; Zinger, S.; With, de P.H.N.

2013-01-01

The use of contextual information can significantly aid scene understanding of surveillance video. Just detecting people and tracking them does not provide sufficient information to detect situations that require operator attention. We propose a proof-of-concept system that uses several sources of

Real-time unmanned aircraft systems surveillance video mosaicking using GPU

Science.gov (United States)

Camargo, Aldo; Anderson, Kyle; Wang, Yi; Schultz, Richard R.; Fevig, Ronald A.

2010-04-01

Digital video mosaicking from Unmanned Aircraft Systems (UAS) is being used for many military and civilian applications, including surveillance, target recognition, border protection, forest fire monitoring, traffic control on highways, monitoring of transmission lines, among others. Additionally, NASA is using digital video mosaicking to explore the moon and planets such as Mars. In order to compute a "good" mosaic from video captured by a UAS, the algorithm must deal with motion blur, frame-to-frame jitter associated with an imperfectly stabilized platform, perspective changes as the camera tilts in flight, as well as a number of other factors. The most suitable algorithms use SIFT (Scale-Invariant Feature Transform) to detect the features consistent between video frames. Utilizing these features, the next step is to estimate the homography between two consecutives video frames, perform warping to properly register the image data, and finally blend the video frames resulting in a seamless video mosaick. All this processing takes a great deal of resources of resources from the CPU, so it is almost impossible to compute a real time video mosaic on a single processor. Modern graphics processing units (GPUs) offer computational performance that far exceeds current CPU technology, allowing for real-time operation. This paper presents the development of a GPU-accelerated digital video mosaicking implementation and compares it with CPU performance. Our tests are based on two sets of real video captured by a small UAS aircraft; one video comes from Infrared (IR) and Electro-Optical (EO) cameras. Our results show that we can obtain a speed-up of more than 50 times using GPU technology, so real-time operation at a video capture of 30 frames per second is feasible.

Candid camera : video surveillance system can help protect assets

Energy Technology Data Exchange (ETDEWEB)

Harrison, L.

2009-11-15

By combining closed-circuit cameras with sophisticated video analytics to create video sensors for use in remote areas, Calgary-based IntelliView Technologies Inc.'s explosion-proof video surveillance system can help the oil and gas sector monitor its assets. This article discussed the benefits, features, and applications of IntelliView's technology. Some of the benefits include a reduced need for on-site security and operating personnel and its patented analytics product known as the SmrtDVR, where the camera's images are stored. The technology can be used in temperatures as cold as minus 50 degrees Celsius and as high as 50 degrees Celsius. The product was commercialized in 2006 when it was used by Nexen Inc. It was concluded that false alarms set off by natural occurrences such as rain, snow, glare and shadows were a huge problem with analytics in the past, but that problem has been solved by IntelliView, which has its own source code, and re-programmed code. 1 fig.

Flexible Human Behavior Analysis Framework for Video Surveillance Applications

Directory of Open Access Journals (Sweden)

Weilun Lao

2010-01-01

Full Text Available We study a flexible framework for semantic analysis of human motion from surveillance video. Successful trajectory estimation and human-body modeling facilitate the semantic analysis of human activities in video sequences. Although human motion is widely investigated, we have extended such research in three aspects. By adding a second camera, not only more reliable behavior analysis is possible, but it also enables to map the ongoing scene events onto a 3D setting to facilitate further semantic analysis. The second contribution is the introduction of a 3D reconstruction scheme for scene understanding. Thirdly, we perform a fast scheme to detect different body parts and generate a fitting skeleton model, without using the explicit assumption of upright body posture. The extension of multiple-view fusion improves the event-based semantic analysis by 15%–30%. Our proposed framework proves its effectiveness as it achieves a near real-time performance (13–15 frames/second and 6–8 frames/second for monocular and two-view video sequences.

a Cloud-Based Architecture for Smart Video Surveillance

Science.gov (United States)

Valentín, L.; Serrano, S. A.; Oves García, R.; Andrade, A.; Palacios-Alonso, M. A.; Sucar, L. Enrique

2017-09-01

Turning a city into a smart city has attracted considerable attention. A smart city can be seen as a city that uses digital technology not only to improve the quality of people's life, but also, to have a positive impact in the environment and, at the same time, offer efficient and easy-to-use services. A fundamental aspect to be considered in a smart city is people's safety and welfare, therefore, having a good security system becomes a necessity, because it allows us to detect and identify potential risk situations, and then take appropriate decisions to help people or even prevent criminal acts. In this paper we present an architecture for automated video surveillance based on the cloud computing schema capable of acquiring a video stream from a set of cameras connected to the network, process that information, detect, label and highlight security-relevant events automatically, store the information and provide situational awareness in order to minimize response time to take the appropriate action.

Advancement of thyroid surgery video recording: A comparison between two full HD head mounted video cameras.

Science.gov (United States)

Ortensi, Andrea; Panunzi, Andrea; Trombetta, Silvia; Cattaneo, Alberto; Sorrenti, Salvatore; D'Orazi, Valerio

2017-05-01

The aim of this study was to test two different video cameras and recording systems used in thyroid surgery in our Department. This is meant to be an attempt to record the real point of view of the magnified vision of surgeon, so as to make the viewer aware of the difference with the naked eye vision. In this retrospective study, we recorded and compared twenty thyroidectomies performed using loupes magnification and microsurgical technique: ten were recorded with GoPro ® 4 Session action cam (commercially available) and ten with our new prototype of head mounted video camera. Settings were selected before surgery for both cameras. The recording time is about from 1 to 2 h for GoPro ® and from 3 to 5 h for our prototype. The average time of preparation to fit the camera on the surgeon's head and set the functionality is about 5 min for GoPro ® and 7-8 min for the prototype, mostly due to HDMI wiring cable. Videos recorded with the prototype require no further editing, which is mandatory for videos recorded with GoPro ® to highlight the surgical details. the present study showed that our prototype of video camera, compared with GoPro ® 4 Session, guarantees best results in terms of surgical video recording quality, provides to the viewer the exact perspective of the microsurgeon and shows accurately his magnified view through the loupes in thyroid surgery. These recordings are surgical aids for teaching and education and might be a method of self-analysis of surgical technique. Copyright © 2017 IJS Publishing Group Ltd. Published by Elsevier Ltd. All rights reserved.

AUTOMATIC FAST VIDEO OBJECT DETECTION AND TRACKING ON VIDEO SURVEILLANCE SYSTEM

Directory of Open Access Journals (Sweden)

V. Arunachalam

2012-08-01

Full Text Available This paper describes the advance techniques for object detection and tracking in video. Most visual surveillance systems start with motion detection. Motion detection methods attempt to locate connected regions of pixels that represent the moving objects within the scene; different approaches include frame-to-frame difference, background subtraction and motion analysis. The motion detection can be achieved by Principle Component Analysis (PCA and then separate an objects from background using background subtraction. The detected object can be segmented. Segmentation consists of two schemes: one for spatial segmentation and the other for temporal segmentation. Tracking approach can be done in each frame of detected Object. Pixel label problem can be alleviated by the MAP (Maximum a Posteriori technique.

Automated intelligent video surveillance system for ships

Science.gov (United States)

Wei, Hai; Nguyen, Hieu; Ramu, Prakash; Raju, Chaitanya; Liu, Xiaoqing; Yadegar, Jacob

2009-05-01

To protect naval and commercial ships from attack by terrorists and pirates, it is important to have automatic surveillance systems able to detect, identify, track and alert the crew on small watercrafts that might pursue malicious intentions, while ruling out non-threat entities. Radar systems have limitations on the minimum detectable range and lack high-level classification power. In this paper, we present an innovative Automated Intelligent Video Surveillance System for Ships (AIVS3) as a vision-based solution for ship security. Capitalizing on advanced computer vision algorithms and practical machine learning methodologies, the developed AIVS3 is not only capable of efficiently and robustly detecting, classifying, and tracking various maritime targets, but also able to fuse heterogeneous target information to interpret scene activities, associate targets with levels of threat, and issue the corresponding alerts/recommendations to the man-in- the-loop (MITL). AIVS3 has been tested in various maritime scenarios and shown accurate and effective threat detection performance. By reducing the reliance on human eyes to monitor cluttered scenes, AIVS3 will save the manpower while increasing the accuracy in detection and identification of asymmetric attacks for ship protection.

Precision Security: Integrating Video Surveillance with Surrounding Environment Changes

Directory of Open Access Journals (Sweden)

Wenfeng Wang

2018-01-01

Full Text Available Video surveillance plays a vital role in maintaining the social security although, until now, large uncertainty still exists in danger understanding and recognition, which can be partly attributed to intractable environment changes in the backgrounds. This article presents a brain-inspired computing of attention value of surrounding environment changes (EC with a processes-based cognition model by introducing a ratio value λ of EC-implications within considered periods. Theoretical models for computation of warning level of EC-implications to the universal video recognition efficiency (quantified as time cost of implication-ratio variations from λk to λk+1, k=1,2,… are further established. Imbedding proposed models into the online algorithms is suggested as a future research priority towards precision security for critical applications and, furthermore, schemes for a practical implementation of such integration are also preliminarily discussed.

Low-complexity wavelet-based image/video coding for home-use and remote surveillance

NARCIS (Netherlands)

Loomans, M.J.H.; Koeleman, C.J.; Joosen, K.M.J.; With, de P.H.N.

2011-01-01

The availability of inexpensive cameras enables alternative applications beyond personal video communication. For example, surveillance of rooms and home premises is such an alternative application, which can be extended with remote viewing on hand-held battery-powered consumer devices. Scalable

Falling-incident detection and throughput enhancement in a multi-camera video-surveillance system.

Science.gov (United States)

Shieh, Wann-Yun; Huang, Ju-Chin

2012-09-01

For most elderly, unpredictable falling incidents may occur at the corner of stairs or a long corridor due to body frailty. If we delay to rescue a falling elder who is likely fainting, more serious consequent injury may occur. Traditional secure or video surveillance systems need caregivers to monitor a centralized screen continuously, or need an elder to wear sensors to detect falling incidents, which explicitly waste much human power or cause inconvenience for elders. In this paper, we propose an automatic falling-detection algorithm and implement this algorithm in a multi-camera video surveillance system. The algorithm uses each camera to fetch the images from the regions required to be monitored. It then uses a falling-pattern recognition algorithm to determine if a falling incident has occurred. If yes, system will send short messages to someone needs to be noticed. The algorithm has been implemented in a DSP-based hardware acceleration board for functionality proof. Simulation results show that the accuracy of falling detection can achieve at least 90% and the throughput of a four-camera surveillance system can be improved by about 2.1 times. Copyright © 2011 IPEM. Published by Elsevier Ltd. All rights reserved.

Review of passive-blind detection in digital video forgery based on sensing and imaging techniques

Science.gov (United States)

Tao, Junjie; Jia, Lili; You, Ying

2016-01-01

Advances in digital video compression and IP communication technologies raised new issues and challenges concerning the integrity and authenticity of surveillance videos. It is so important that the system should ensure that once recorded, the video cannot be altered; ensuring the audit trail is intact for evidential purposes. This paper gives an overview of passive techniques of Digital Video Forensics which are based on intrinsic fingerprints inherent in digital surveillance videos. In this paper, we performed a thorough research of literatures relevant to video manipulation detection methods which accomplish blind authentications without referring to any auxiliary information. We presents review of various existing methods in literature, and much more work is needed to be done in this field of video forensics based on video data analysis and observation of the surveillance systems.

Sunglass detection method for automation of video surveillance system

Science.gov (United States)

Sikandar, Tasriva; Samsudin, Wan Nur Azhani W.; Hawari Ghazali, Kamarul; Mohd, Izzeldin I.; Fazle Rabbi, Mohammad

2018-04-01

Wearing sunglass to hide face from surveillance camera is a common activity in criminal incidences. Therefore, sunglass detection from surveillance video has become a demanding issue in automation of security systems. In this paper we propose an image processing method to detect sunglass from surveillance images. Specifically, a unique feature using facial height and width has been employed to identify the covered region of the face. The presence of covered area by sunglass is evaluated using facial height-width ratio. Threshold value of covered area percentage is used to classify the glass wearing face. Two different types of glasses have been considered i.e. eye glass and sunglass. The results of this study demonstrate that the proposed method is able to detect sunglasses in two different illumination conditions such as, room illumination as well as in the presence of sunlight. In addition, due to the multi-level checking in facial region, this method has 100% accuracy of detecting sunglass. However, in an exceptional case where fabric surrounding the face has similar color as skin, the correct detection rate was found 93.33% for eye glass.

Using cloud computing technologies in IP-video surveillance systems with the function of 3d-object modelling

Directory of Open Access Journals (Sweden)

Zhigalov Kirill

2018-01-01

Full Text Available This article is devoted to the integration of cloud technology functions into 3D IP video surveil-lance systems in order to conduct further video Analytics, incoming real-time data, as well as stored video materials on the server in the «cloud». The main attention is devoted to «cloud technologies» usage optimizing the process of recognition of the desired object by increasing the criteria of flexibility and scalability of the system. Transferring image load from the client to the cloud server, to the virtual part of the system. The development of the issues considered in the article in terms of data analysis, which will significantly improve the effectiveness of the implementation of special tasks facing special units.

Euratom experience with video surveillance - Single camera and other non-multiplexed

International Nuclear Information System (INIS)

Otto, P.; Cozier, T.; Jargeac, B.; Castets, J.P.; Wagner, H.G.; Chare, P.; Roewer, V.

1991-01-01

The Euratom Safeguards Directorate (ESD) has been using a number of single camera video systems (Ministar, MIVS, DCS) and non-multiplexed multi-camera systems (Digiquad) for routine safeguards surveillance applications during the last four years. This paper describes aspects of system design and considerations relevant for installation. It reports on system reliability and performance and presents suggestions on future improvements

Multiple Generations on Video Tape Recorders.

Science.gov (United States)

Wiens, Jacob H.

Helical scan video tape recorders were tested for their dubbing characteristics in order to make selection data available to media personnel. The equipment, two recorders of each type tested, was submitted by the manufacturers. The test was designed to produce quality evaluations for three generations of a single tape, thereby encompassing all…

Development of Compact Surveillance and Monitoring System 'COSMOS'

International Nuclear Information System (INIS)

Ogawa, Hironobu; Mukaiyama, Takehiko

1999-03-01

The Compact Surveillance and Monitoring System (COSMOS) was developed by the Japan Atomic Energy Research Institute (JAERI) for the International Atomic Energy Agency (IAEA) as a safeguards surveillance system under the JASPAS (Japan Support Programme for Agency Safeguards) with the collaboration of the Sony Corporation. It was intended as a direct replacement to the Twin Minolta film camera system. The COSMOS system can operate with a self-contained battery, record 30,000 scenes with an 8 mm video cassette tape and operate continuously for three months without human intervention. It can also operate by AC power supply for more than three months, and record 45,000 scenes in an 8 mm video cassette tape. The COSMOS system consists of two units, one is the Recording Unit and the other is the Setup/Review Unit. The Recording Unit consists of a main frame, four modules and a tamperproof housing. The four modules are a small CCD (Charge Coupled Device) camera with an auto-iris lens and a specific VTR (Video Tape Recorder), a video frame memory module, a system control module, and a DC or an AC power module. Currently, the COSMOS is the only safeguards video surveillance system without the need of external power supply for three months. In 1992 thirteen COSMOS units were successfully tested for the reliability by both the IAEA and the JAERI. None of mechanical failure was observed. On the one hand, the battery operation tests using four units were successfully carried out with 5 minutes time interval for three months. Three units were also tested in the field and no failure was observed. The COSMOS was accepted as the routine-use device for international safeguards by the IAEA in August 1993. The total of 90 units were purchased by the IAEA from the manufacturer, SONY, and also several units were purchased by the Science and Technology Agency (STA) of Japan for the STA/IAEA joint-use in Japan. (author)

Development of Compact Surveillance and Monitoring System `COSMOS`

Energy Technology Data Exchange (ETDEWEB)

Ogawa, Hironobu; Mukaiyama, Takehiko [Japan Atomic Energy Research Inst., Tokai, Ibaraki (Japan). Tokai Research Establishment

1999-03-01

The Compact Surveillance and Monitoring System (COSMOS) was developed by the Japan Atomic Energy Research Institute (JAERI) for the International Atomic Energy Agency (IAEA) as a safeguards surveillance system under the JASPAS (Japan Support Programme for Agency Safeguards) with the collaboration of the Sony Corporation. It was intended as a direct replacement to the Twin Minolta film camera system. The COSMOS system can operate with a self-contained battery, record 30,000 scenes with an 8 mm video cassette tape and operate continuously for three months without human intervention. It can also operate by AC power supply for more than three months, and record 45,000 scenes in an 8 mm video cassette tape. The COSMOS system consists of two units, one is the Recording Unit and the other is the Setup/Review Unit. The Recording Unit consists of a main frame, four modules and a tamperproof housing. The four modules are a small CCD (Charge Coupled Device) camera with an auto-iris lens and a specific VTR (Video Tape Recorder), a video frame memory module, a system control module, and a DC or an AC power module. Currently, the COSMOS is the only safeguards video surveillance system without the need of external power supply for three months. In 1992 thirteen COSMOS units were successfully tested for the reliability by both the IAEA and the JAERI. None of mechanical failure was observed. On the one hand, the battery operation tests using four units were successfully carried out with 5 minutes time interval for three months. Three units were also tested in the field and no failure was observed. The COSMOS was accepted as the routine-use device for international safeguards by the IAEA in August 1993. The total of 90 units were purchased by the IAEA from the manufacturer, SONY, and also several units were purchased by the Science and Technology Agency (STA) of Japan for the STA/IAEA joint-use in Japan. (author)

A Method for Counting Moving People in Video Surveillance Videos

Directory of Open Access Journals (Sweden)

Mario Vento

2010-01-01

Full Text Available People counting is an important problem in video surveillance applications. This problem has been faced either by trying to detect people in the scene and then counting them or by establishing a mapping between some scene feature and the number of people (avoiding the complex detection problem. This paper presents a novel method, following this second approach, that is based on the use of SURF features and of an ϵ-SVR regressor provide an estimate of this count. The algorithm takes specifically into account problems due to partial occlusions and to perspective. In the experimental evaluation, the proposed method has been compared with the algorithm by Albiol et al., winner of the PETS 2009 contest on people counting, using the same PETS 2009 database. The provided results confirm that the proposed method yields an improved accuracy, while retaining the robustness of Albiol's algorithm.

A Method for Counting Moving People in Video Surveillance Videos

Directory of Open Access Journals (Sweden)

Conte Donatello

2010-01-01

Full Text Available People counting is an important problem in video surveillance applications. This problem has been faced either by trying to detect people in the scene and then counting them or by establishing a mapping between some scene feature and the number of people (avoiding the complex detection problem. This paper presents a novel method, following this second approach, that is based on the use of SURF features and of an -SVR regressor provide an estimate of this count. The algorithm takes specifically into account problems due to partial occlusions and to perspective. In the experimental evaluation, the proposed method has been compared with the algorithm by Albiol et al., winner of the PETS 2009 contest on people counting, using the same PETS 2009 database. The provided results confirm that the proposed method yields an improved accuracy, while retaining the robustness of Albiol's algorithm.

A Method for Counting Moving People in Video Surveillance Videos

Science.gov (United States)

Conte, Donatello; Foggia, Pasquale; Percannella, Gennaro; Tufano, Francesco; Vento, Mario

2010-12-01

People counting is an important problem in video surveillance applications. This problem has been faced either by trying to detect people in the scene and then counting them or by establishing a mapping between some scene feature and the number of people (avoiding the complex detection problem). This paper presents a novel method, following this second approach, that is based on the use of SURF features and of an [InlineEquation not available: see fulltext.]-SVR regressor provide an estimate of this count. The algorithm takes specifically into account problems due to partial occlusions and to perspective. In the experimental evaluation, the proposed method has been compared with the algorithm by Albiol et al., winner of the PETS 2009 contest on people counting, using the same PETS 2009 database. The provided results confirm that the proposed method yields an improved accuracy, while retaining the robustness of Albiol's algorithm.

Implications of the law on video recording in clinical practice

OpenAIRE

Henken, Kirsten R.; Jansen, Frank-Willem; Klein, Jan; Stassen, Laurents; Dankelman, Jenny; Dobbelsteen, John

2012-01-01

textabstractBackground: Technological developments allow for a variety of applications of video recording in health care, including endoscopic procedures. Although the value of video registration is recognized, medicolegal concerns regarding the privacy of patients and professionals are growing. A clear understanding of the legal framework is lacking. Therefore, this research aims to provide insight into the juridical position of patients and professionals regarding video recording in health ...

A CLOUD-BASED ARCHITECTURE FOR SMART VIDEO SURVEILLANCE

Directory of Open Access Journals (Sweden)

L. Valentín

2017-09-01

Full Text Available Turning a city into a smart city has attracted considerable attention. A smart city can be seen as a city that uses digital technology not only to improve the quality of people’s life, but also, to have a positive impact in the environment and, at the same time, offer efficient and easy-to-use services. A fundamental aspect to be considered in a smart city is people’s safety and welfare, therefore, having a good security system becomes a necessity, because it allows us to detect and identify potential risk situations, and then take appropriate decisions to help people or even prevent criminal acts. In this paper we present an architecture for automated video surveillance based on the cloud computing schema capable of acquiring a video stream from a set of cameras connected to the network, process that information, detect, label and highlight security-relevant events automatically, store the information and provide situational awareness in order to minimize response time to take the appropriate action.

Daily Digest Generation of Kindergartner from Surveillance Video

Science.gov (United States)

Ishikawa, Tomoya; Wang, Yu; Kato, Jien

Nowadays, children spend most of their time in kindergarten as well as nursery schools. This directly brings a requirement to the parents: they want to see how everyday goes with their kids. To meet this requirement, in this paper, we propose a method to automatically generate video digest that records kids' daily life in kindergarten. Our method involves two steps. The first is to efficiently narrow down the searching space by analyzing the noisy RFID tag log which records kids' temporal location, while the second is to use visual features and time constrains to recognize events and pick out video segments for each individual event. The accuracy of our method was evaluated with quantitative experiment and the superior of the digest that generated by our method was confirmed via questionnaire survey.

Video Recordings in Public Libraries.

Science.gov (United States)

Doyle, Stephen

1984-01-01

Reports on development and operation of public library collection of video recordings, describes results of user survey conducted over 6-month period, and offers brief guidelines. Potential users, censorship and copyright, organization of collection, fees, damage and loss, funding, purchasing and promotion, formats, processing and cataloging,…

A Fisher Kernel Approach for Multiple Instance Based Object Retrieval in Video Surveillance

Directory of Open Access Journals (Sweden)

MIRONICA, I.

2015-11-01

Full Text Available This paper presents an automated surveillance system that exploits the Fisher Kernel representation in the context of multiple-instance object retrieval task. The proposed algorithm has the main purpose of tracking a list of persons in several video sources, using only few training examples. In the first step, the Fisher Kernel representation describes a set of features as the derivative with respect to the log-likelihood of the generative probability distribution that models the feature distribution. Then, we learn the generative probability distribution over all features extracted from a reduced set of relevant frames. The proposed approach shows significant improvements and we demonstrate that Fisher kernels are well suited for this task. We demonstrate the generality of our approach in terms of features by conducting an extensive evaluation with a broad range of keypoints features. Also, we evaluate our method on two standard video surveillance datasets attaining superior results comparing to state-of-the-art object recognition algorithms.

Live lecture versus video-recorded lecture: are students voting with their feet?

Science.gov (United States)

Cardall, Scott; Krupat, Edward; Ulrich, Michael

2008-12-01

In light of educators' concerns that lecture attendance in medical school has declined, the authors sought to assess students' perceptions, evaluations, and motivations concerning live lectures compared with accelerated, video-recorded lectures viewed online. The authors performed a cross-sectional survey study of all first- and second-year students at Harvard Medical School. Respondents answered questions regarding their lecture attendance; use of class and personal time; use of accelerated, video-recorded lectures; and reasons for viewing video-recorded and live lectures. Other questions asked students to compare how well live and video-recorded lectures satisfied learning goals. Of the 353 students who received questionnaires, 204 (58%) returned responses. Collectively, students indicated watching 57.2% of lectures live, 29.4% recorded, and 3.8% using both methods. All students have watched recorded lectures, and most (88.5%) have used video-accelerating technologies. When using accelerated, video-recorded lecture as opposed to attending lecture, students felt they were more likely to increase their speed of knowledge acquisition (79.3% of students), look up additional information (67.7%), stay focused (64.8%), and learn more (63.7%). Live attendance remains the predominant method for viewing lectures. However, students find accelerated, video-recorded lectures equally or more valuable. Although educators may be uncomfortable with the fundamental change in the learning process represented by video-recorded lecture use, students' responses indicate that their decisions to attend lectures or view recorded lectures are motivated primarily by a desire to satisfy their professional goals. A challenge remains for educators to incorporate technologies students find useful while creating an interactive learning culture.

Intelligent video surveillance systems

CERN Document Server

Dufour, Jean-Yves

2012-01-01

Belonging to the wider academic field of computer vision, video analytics has aroused a phenomenal surge of interest since the current millennium. Video analytics is intended to solve the problem of the incapability of exploiting video streams in real time for the purpose of detection or anticipation. It involves analyzing the videos using algorithms that detect and track objects of interest over time and that indicate the presence of events or suspect behavior involving these objects.The aims of this book are to highlight the operational attempts of video analytics, to identify possi

Implementation of nuclear material surveillance system based on the digital video capture card and counter

International Nuclear Information System (INIS)

Lee, Sang Yoon; Song, Dae Yong; Ko, Won Il; Ha, Jang Ho; Kim, Ho Dong

2003-07-01

In this paper, the implementation techniques of nuclear material surveillance system based on the digital video capture board and digital counter was described. The surveillance system that is to be developed is consist of CCD cameras, neutron monitors, and PC for data acquisition. To develop the system, the properties of the PCI based capture board and counter was investigated, and the characteristics of related SDK library was summarized. This report could be used for the developers who want to develop the surveillance system for various experimental environments based on the DVR and sensors using Borland C++ Builder

Using video analysis for concussion surveillance in Australian football.

Science.gov (United States)

Makdissi, Michael; Davis, Gavin

2016-12-01

The objectives of the study were to assess the relationship between various player and game factors and risk of concussion; and to assess the reliability of video analysis for mechanistic assessment of concussion in Australian football. Prospective cohort study. All impacts and collisions resulting in concussion were identified during the 2011 Australian Football League season. An extensive list of factors for assessment was created based upon previous analysis of concussion in Australian Football League and expert opinions. The authors independently reviewed the video clips and correlation for each factor was examined. A total of 82 concussions were reported in 194 games (rate: 8.7 concussions per 1000 match hours; 95% confidence interval: 6.9-10.5). Player demographics and game variables such as venue, timing of the game (day, night or twilight), quarter, travel status (home or interstate) or score margin did not demonstrate a significant relationship with risk of concussion; although a higher percentage of concussions occurred in the first 5min of game time of the quarter (36.6%), when compared to the last 5min (20.7%). Variables with good inter-rater agreement included position on the ground, circumstances of the injury and cause of the impact. The remainder of the variables assessed had fair-poor inter-rater agreement. Common problems included insufficient or poor quality video and interpretation issues related to the definitions used. Clear definitions and good quality video from multiple camera angles are required to improve the utility of video analysis for concussion surveillance in Australian football. Copyright © 2016 Sports Medicine Australia. Published by Elsevier Ltd. All rights reserved.

Videosorveglianza come supporto interattivo / La vidéosurveillance comme support intéractif / Video surveillance as an interactive support

Directory of Open Access Journals (Sweden)

Dischi Franco

2010-03-01

Full Text Available Video surveillance is not and cannot be considered a system of image acquistions “end in itself”.The acquired audio-visual “product”, in addition to surveillance and security, provides a useful source of information in case of storage and automatic analysis of data in urban planning to optimise land resources and means of support, for example environmental monitoring to protect habitat, land and ecosystem.These are behavioural precognitive models of video analysis, for a perceptive context of the situation of danger.

The modular integrated video system (MIVS)

International Nuclear Information System (INIS)

Schneider, S.L.; Sonnier, C.S.

1987-01-01

The Modular Integrated Video System (MIVS) is being developed for the International Atomic Energy Agency (IAEA) for use in facilities where mains power is available and the separation of the Camera and Recording Control Unit is desirable. The system is being developed under the US Program for Technical Assistance to the IAEA Safeguards (POTAS). The MIVS is designed to be a user-friendly system, allowing operation with minimal effort and training. The system software, through the use of a Liquid Crystal Display (LCD) and four soft keys, leads the inspector through the setup procedures to accomplish the intended surveillance or maintenance task. Review of surveillance data is accomplished with the use of a Portable Review Station. This Review Station will aid the inspector in the review process and determine the number of missed video scenes during a surveillance period

Perceptual evaluation of visual alerts in surveillance videos

Science.gov (United States)

Rogowitz, Bernice E.; Topkara, Mercan; Pfeiffer, William; Hampapur, Arun

2015-03-01

Visual alerts are commonly used in video monitoring and surveillance systems to mark events, presumably making them more salient to human observers. Surprisingly, the effectiveness of computer-generated alerts in improving human performance has not been widely studied. To address this gap, we have developed a tool for simulating different alert parameters in a realistic visual monitoring situation, and have measured human detection performance under conditions that emulated different set-points in a surveillance algorithm. In the High-Sensitivity condition, the simulated alerts identified 100% of the events with many false alarms. In the Lower-Sensitivity condition, the simulated alerts correctly identified 70% of the targets, with fewer false alarms. In the control condition, no simulated alerts were provided. To explore the effects of learning, subjects performed these tasks in three sessions, on separate days, in a counterbalanced, within subject design. We explore these results within the context of cognitive models of human attention and learning. We found that human observers were more likely to respond to events when marked by a visual alert. Learning played a major role in the two alert conditions. In the first session, observers generated almost twice as many False Alarms as in the No-Alert condition, as the observers responded pre-attentively to the computer-generated false alarms. However, this rate dropped equally dramatically in later sessions, as observers learned to discount the false cues. Highest observer Precision, Hits/(Hits + False Alarms), was achieved in the High Sensitivity condition, but only after training. The successful evaluation of surveillance systems depends on understanding human attention and performance.

Underwater Communications for Video Surveillance Systems at 2.4 GHz

Directory of Open Access Journals (Sweden)

Sandra Sendra

2016-10-01

Full Text Available Video surveillance is needed to control many activities performed in underwater environments. The use of wired media can be a problem since the material specially designed for underwater environments is very expensive. In order to transmit the images and videos wirelessly under water, three main technologies can be used: acoustic waves, which do not provide high bandwidth, optical signals, although the effect of light dispersion in water severely penalizes the transmitted signals and therefore, despite offering high transfer rates, the maximum distance is very small, and electromagnetic (EM waves, which can provide enough bandwidth for video delivery. In the cases where the distance between transmitter and receiver is short, the use of EM waves would be an interesting option since they provide high enough data transfer rates to transmit videos with high resolution. This paper presents a practical study of the behavior of EM waves at 2.4 GHz in freshwater underwater environments. First, we discuss the minimum requirements of a network to allow video delivery. From these results, we measure the maximum distance between nodes and the round trip time (RTT value depending on several parameters such as data transfer rate, signal modulations, working frequency, and water temperature. The results are statistically analyzed to determine their relation. Finally, the EM waves’ behavior is modeled by a set of equations. The results show that there are some combinations of working frequency, modulation, transfer rate and temperature that offer better results than others. Our work shows that short communication distances with high data transfer rates is feasible.

TACKLING EVENT DETECTION IN THE CONTEXT OF VIDEO SURVEILLANCE

Directory of Open Access Journals (Sweden)

Raducu DUMITRESCU

2011-11-01

Full Text Available In this paper we address the problem of event detection in the context of video surveillance systems. First we deal with background extraction. Three methods are being tested, namely: frame differencing, running average and an estimate of median filtering technique. This provides information about changing contents. Further, we use this information to address human presence detection in the scene. This is carried out thought a contour-based approach. Contours are extracted from moving regions and parameterized. Human silhouettes show particular signatures of these parameters. Experimental results prove the potential of this approach to event detection. However, these are our first preliminary results to this application.

High-resolution X-ray television and high-resolution video recorders

International Nuclear Information System (INIS)

Haendle, J.; Horbaschek, H.; Alexandrescu, M.

1977-01-01

The improved transmission properties of the high-resolution X-ray television chain described here make it possible to transmit more information per television image. The resolution in the fluoroscopic image, which is visually determined, depends on the dose rate and the inertia of the television pick-up tube. This connection is discussed. In the last few years, video recorders have been increasingly used in X-ray diagnostics. The video recorder is a further quality-limiting element in X-ray television. The development of function patterns of high-resolution magnetic video recorders shows that this quality drop may be largely overcome. The influence of electrical band width and number of lines on the resolution in the X-ray television image stored is explained in more detail. (orig.) [de

The influence of video recordings on beginning therapists’ learning in psychotherapy training

DEFF Research Database (Denmark)

Jacobsen, Claus Haugaard; Olesen, Mette Kirk; Kløve, Astrid

the current relatively widespread use of video, one finds only a very limited number of empirical studies on how these recordings specifically influence the learning process of the beginning therapist. Aim: After a brief discussion of the pro and cons of the use of video recordings this paper presents......Background: Due to the development of technologies and the low costs, video recording of psychotherapy sessions have gained ground in training and supervision. While some praise the advantages others decline to use this technological aid for ethical, theoretical or clinical reasons. Despite...

Recorded peer video chat as a research and development tool

DEFF Research Database (Denmark)

Otrel-Cass, Kathrin; Cowie, Bronwen

2016-01-01

When practising teachers take time to exchange their experiences and reflect on their teaching realities as critical friends, they add meaning and depth to educational research. When peer talk is facilitated through video chat platforms, teachers can meet (virtually) face to face even when...... recordings were transcribed and used to prompt further discussion. The recording of the video chat meetings provided an opportunity for researchers to listen in and follow up on points they felt needed further unpacking or clarification. The recorded peer video chat conversations provided an additional...... opportunity to stimulate and support teacher participants in a process of critical analysis and reflection on practice. The discussions themselves were empowering because in the absence of the researcher, the teachers, in negotiation with peers, choose what is important enough to them to take time to discuss....

Using Stereo Vision to Support the Automated Analysis of Surveillance Videos

Science.gov (United States)

Menze, M.; Muhle, D.

2012-07-01

Video surveillance systems are no longer a collection of independent cameras, manually controlled by human operators. Instead, smart sensor networks are developed, able to fulfil certain tasks on their own and thus supporting security personnel by automated analyses. One well-known task is the derivation of people's positions on a given ground plane from monocular video footage. An improved accuracy for the ground position as well as a more detailed representation of single salient people can be expected from a stereoscopic processing of overlapping views. Related work mostly relies on dedicated stereo devices or camera pairs with a small baseline. While this set-up is helpful for the essential step of image matching, the high accuracy potential of a wide baseline and the according good intersection geometry is not utilised. In this paper we present a stereoscopic approach, working on overlapping views of standard pan-tilt-zoom cameras which can easily be generated for arbitrary points of interest by an appropriate reconfiguration of parts of a sensor network. Experiments are conducted on realistic surveillance footage to show the potential of the suggested approach and to investigate the influence of different baselines on the quality of the derived surface model. Promising estimations of people's position and height are retrieved. Although standard matching approaches show helpful results, future work will incorporate temporal dependencies available from image sequences in order to reduce computational effort and improve the derived level of detail.

USING STEREO VISION TO SUPPORT THE AUTOMATED ANALYSIS OF SURVEILLANCE VIDEOS

Directory of Open Access Journals (Sweden)

M. Menze

2012-07-01

Full Text Available Video surveillance systems are no longer a collection of independent cameras, manually controlled by human operators. Instead, smart sensor networks are developed, able to fulfil certain tasks on their own and thus supporting security personnel by automated analyses. One well-known task is the derivation of people’s positions on a given ground plane from monocular video footage. An improved accuracy for the ground position as well as a more detailed representation of single salient people can be expected from a stereoscopic processing of overlapping views. Related work mostly relies on dedicated stereo devices or camera pairs with a small baseline. While this set-up is helpful for the essential step of image matching, the high accuracy potential of a wide baseline and the according good intersection geometry is not utilised. In this paper we present a stereoscopic approach, working on overlapping views of standard pan-tilt-zoom cameras which can easily be generated for arbitrary points of interest by an appropriate reconfiguration of parts of a sensor network. Experiments are conducted on realistic surveillance footage to show the potential of the suggested approach and to investigate the influence of different baselines on the quality of the derived surface model. Promising estimations of people’s position and height are retrieved. Although standard matching approaches show helpful results, future work will incorporate temporal dependencies available from image sequences in order to reduce computational effort and improve the derived level of detail.

Digitized video subject positioning and surveillance system for PET

International Nuclear Information System (INIS)

Picard, Y.; Thompson, C.J.

1995-01-01

Head motion is a significant contribution to the degradation of image quality of Positron Emission Tomography (PET) studies. Images from different studies must also be realigned digitally to be correlated when the subject position has changed. These constraints could be eliminated if the subject's head position could be monitored accurately. The authors have developed a video camera-based surveillance system to monitor the head position and motion of subjects undergoing PET studies. The system consists of two CCD (charge-coupled device) cameras placed orthogonally such that both face and profile views of the subject's head are displayed side by side on an RGB video monitor. Digitized images overlay the live images in contrasting colors on the monitor. Such a system can be used to (1) position the subject in the field of view (FOV) by displaying the position of the scanner's slices on the monitor along with the current subject position, (2) monitor head motion and alert the operator of any motion during the study and (3) reposition the subject accurately for subsequent studies by displaying the previous position along with the current position in a contrasting color

Overview of the software for the Telemation/Sandia unattended video surveillance system

International Nuclear Information System (INIS)

Merillat, P.D.

1979-10-01

A microprocessor has been used to provide the major control functions in the Telemation/Sandia unattended video surveillance system. The software in the microprocessor provides control of the various hardware components and provides the capability of interactive communications with the operator. This document, in conjunction with the commented source listing, defines the philosophy and function of the software. It is assumed that the reader is familiar with the RCA 1802 COSMAC microprocessor and has a reasonable computer science background

Implications of the law on video recording in clinical practice

NARCIS (Netherlands)

K.R. Henken (Kirsten R.); F-W. Jansen (Frank-Willem); J. Klein (Jan); L.P. Stassen (Laurents); J. Dankelman (Jenny); J.J. van den Dobbelsteen (John)

2012-01-01

textabstractBackground: Technological developments allow for a variety of applications of video recording in health care, including endoscopic procedures. Although the value of video registration is recognized, medicolegal concerns regarding the privacy of patients and professionals are growing. A

Implications of the law on video recording in clinical practice

NARCIS (Netherlands)

Henken, K.R.; Jansen, F.W.; Klein, J.; Stassen, L.P.S.; Dankelman, J.; Van den Dobbelsteen, J.J.

2012-01-01

Background Technological developments allow for a variety of applications of video recording in health care, including endoscopic procedures. Although the value of video registration is recognized, medicolegal concerns regarding the privacy of patients and professionals are growing. A clear

Integration of prior knowledge into dense image matching for video surveillance

Science.gov (United States)

Menze, M.; Heipke, C.

2014-08-01

Three-dimensional information from dense image matching is a valuable input for a broad range of vision applications. While reliable approaches exist for dedicated stereo setups they do not easily generalize to more challenging camera configurations. In the context of video surveillance the typically large spatial extent of the region of interest and repetitive structures in the scene render the application of dense image matching a challenging task. In this paper we present an approach that derives strong prior knowledge from a planar approximation of the scene. This information is integrated into a graph-cut based image matching framework that treats the assignment of optimal disparity values as a labelling task. Introducing the planar prior heavily reduces ambiguities together with the search space and increases computational efficiency. The results provide a proof of concept of the proposed approach. It allows the reconstruction of dense point clouds in more general surveillance camera setups with wider stereo baselines.

Short report: Improving record-review surveillance of young children with an autism spectrum disorder.

Science.gov (United States)

Wiggins, Lisa D; Robins, Diana L; Yeargin-Allsopp, Marshalyn

2013-09-01

Records-based autism spectrum disorder surveillance developed at the Centers for Disease Control and Prevention has been extended to younger cohorts, although the utility of additional record sources has not been examined. We therefore conducted a pilot project to describe whether Centers for Disease Control and Prevention surveillance could identify younger children with an autism spectrum disorder evaluated as part of an ongoing screening study at Georgia State University. In all, 31 families of children who screened positive for autism spectrum disorder and received a clinical evaluation at Georgia State University agreed to participate in the project. Of these, 10 children lived inside the surveillance area and had records abstracted and reviewed for this project. Centers for Disease Control and Prevention surveillance results (i.e. autism spectrum disorder or non-autism spectrum disorder) were compared with Georgia State University evaluation results (i.e. autism spectrum disorder or non-autism spectrum disorder). In all, 4 of the 10 children were diagnosed with an autism spectrum disorder after the Georgia State University evaluation. None of the 4 children with an autism spectrum disorder were identified by current Centers for Disease Control and Prevention surveillance methods but all 4 children were identified by Centers for Disease Control and Prevention surveillance methods when additional record sources were included (i.e. records from the statewide early intervention program and Georgia State University evaluation). These findings suggest that partnering with early intervention programs and encouraging early autism spectrum disorder screening might improve autism spectrum disorder surveillance among young children.

Mobile, portable lightweight wireless video recording solutions for homeland security, defense, and law enforcement applications

Science.gov (United States)

Sandy, Matt; Goldburt, Tim; Carapezza, Edward M.

2015-05-01

It is desirable for executive officers of law enforcement agencies and other executive officers in homeland security and defense, as well as first responders, to have some basic information about the latest trend on mobile, portable lightweight wireless video recording solutions available on the market. This paper reviews and discusses a number of studies on the use and effectiveness of wireless video recording solutions. It provides insights into the features of wearable video recording devices that offer excellent applications for the category of security agencies listed in this paper. It also provides answers to key questions such as: how to determine the type of video recording solutions most suitable for the needs of your agency, the essential features to look for when selecting a device for your video needs, and the privacy issues involved with wearable video recording devices.

THE DETERMINATION OF THE SHARPNESS DEPTH BORDERS AND CORRESPONDING PHOTOGRAPHY AND VIDEO RECORDING PARAMETERS FOR CONTEMPORARY VIDEO TECHNOLOGY

Directory of Open Access Journals (Sweden)

E. G. Zaytseva

2011-01-01

Full Text Available The method of determination of the sharpness depth borders was improved for contemporary video technology. The computer programme for determination of corresponding video recording parameters was created.

Seizure semiology inferred from clinical descriptions and from video recordings. How accurate are they?

DEFF Research Database (Denmark)

Beniczky, Simona Alexandra; Fogarasi, András; Neufeld, Miri

2012-01-01

To assess how accurate the interpretation of seizure semiology is when inferred from witnessed seizure descriptions and from video recordings, five epileptologists analyzed 41 seizures from 30 consecutive patients who had clinical episodes in the epilepsy monitoring unit. For each clinical episode...... for the descriptions (k=0.67) and almost perfect for the video recordings (k=0.95). Video recordings significantly increase the accuracy of seizure interpretation....

Data compression systems for home-use digital video recording

NARCIS (Netherlands)

With, de P.H.N.; Breeuwer, M.; van Grinsven, P.A.M.

1992-01-01

The authors focus on image data compression techniques for digital recording. Image coding for storage equipment covers a large variety of systems because the applications differ considerably in nature. Video coding systems suitable for digital TV and HDTV recording and digital electronic still

Extracting 3d Semantic Information from Video Surveillance System Using Deep Learning

Science.gov (United States)

Zhang, J. S.; Cao, J.; Mao, B.; Shen, D. Q.

2018-04-01

At present, intelligent video analysis technology has been widely used in various fields. Object tracking is one of the important part of intelligent video surveillance, but the traditional target tracking technology based on the pixel coordinate system in images still exists some unavoidable problems. Target tracking based on pixel can't reflect the real position information of targets, and it is difficult to track objects across scenes. Based on the analysis of Zhengyou Zhang's camera calibration method, this paper presents a method of target tracking based on the target's space coordinate system after converting the 2-D coordinate of the target into 3-D coordinate. It can be seen from the experimental results: Our method can restore the real position change information of targets well, and can also accurately get the trajectory of the target in space.

Intelligent Model for Video Survillance Security System

Directory of Open Access Journals (Sweden)

J. Vidhya

2013-12-01

Full Text Available Video surveillance system senses and trails out all the threatening issues in the real time environment. It prevents from security threats with the help of visual devices which gather the information related to videos like CCTV’S and IP (Internet Protocol cameras. Video surveillance system has become a key for addressing problems in the public security. They are mostly deployed on the IP based network. So, all the possible security threats exist in the IP based application might also be the threats available for the reliable application which is available for video surveillance. In result, it may increase cybercrime, illegal video access, mishandling videos and so on. Hence, in this paper an intelligent model is used to propose security for video surveillance system which ensures safety and it provides secured access on video.

3D reconstruction of cystoscopy videos for comprehensive bladder records

OpenAIRE

Lurie, Kristen L.; Angst, Roland; Zlatev, Dimitar V.; Liao, Joseph C.; Ellerbee Bowden, Audrey K.

2017-01-01

White light endoscopy is widely used for diagnostic imaging of the interior of organs and body cavities, but the inability to correlate individual 2D images with 3D organ morphology limits its utility for quantitative or longitudinal studies of disease physiology or cancer surveillance. As a result, most endoscopy videos, which carry enormous data potential, are used only for real-time guidance and are discarded after collection. We present a computational method to reconstruct and visualize ...

Low Cost Efficient Deliverying Video Surveillance Service to Moving Guard for Smart Home.

Science.gov (United States)

Gualotuña, Tatiana; Macías, Elsa; Suárez, Álvaro; C, Efraín R Fonseca; Rivadeneira, Andrés

2018-03-01

Low-cost video surveillance systems are attractive for Smart Home applications (especially in emerging economies). Those systems use the flexibility of the Internet of Things to operate the video camera only when an intrusion is detected. We are the only ones that focus on the design of protocols based on intelligent agents to communicate the video of an intrusion in real time to the guards by wireless or mobile networks. The goal is to communicate, in real time, the video to the guards who can be moving towards the smart home. However, this communication suffers from sporadic disruptions that difficults the control and drastically reduces user satisfaction and operativity of the system. In a novel way, we have designed a generic software architecture based on design patterns that can be adapted to any hardware in a simple way. The implanted hardware is of very low economic cost; the software frameworks are free. In the experimental tests we have shown that it is possible to communicate to the moving guard, intrusion notifications (by e-mail and by instant messaging), and the first video frames in less than 20 s. In addition, we automatically recovered the frames of video lost in the disruptions in a transparent way to the user, we supported vertical handover processes and we could save energy of the smartphone's battery. However, the most important thing was that the high satisfaction of the people who have used the system.

Low Cost Efficient Deliverying Video Surveillance Service to Moving Guard for Smart Home

Science.gov (United States)

Gualotuña, Tatiana; Fonseca C., Efraín R.; Rivadeneira, Andrés

2018-01-01

Low-cost video surveillance systems are attractive for Smart Home applications (especially in emerging economies). Those systems use the flexibility of the Internet of Things to operate the video camera only when an intrusion is detected. We are the only ones that focus on the design of protocols based on intelligent agents to communicate the video of an intrusion in real time to the guards by wireless or mobile networks. The goal is to communicate, in real time, the video to the guards who can be moving towards the smart home. However, this communication suffers from sporadic disruptions that difficults the control and drastically reduces user satisfaction and operativity of the system. In a novel way, we have designed a generic software architecture based on design patterns that can be adapted to any hardware in a simple way. The implanted hardware is of very low economic cost; the software frameworks are free. In the experimental tests we have shown that it is possible to communicate to the moving guard, intrusion notifications (by e-mail and by instant messaging), and the first video frames in less than 20 s. In addition, we automatically recovered the frames of video lost in the disruptions in a transparent way to the user, we supported vertical handover processes and we could save energy of the smartphone's battery. However, the most important thing was that the high satisfaction of the people who have used the system. PMID:29494551

Low Cost Efficient Deliverying Video Surveillance Service to Moving Guard for Smart Home

Directory of Open Access Journals (Sweden)

Tatiana Gualotuña

2018-03-01

Full Text Available Low-cost video surveillance systems are attractive for Smart Home applications (especially in emerging economies. Those systems use the flexibility of the Internet of Things to operate the video camera only when an intrusion is detected. We are the only ones that focus on the design of protocols based on intelligent agents to communicate the video of an intrusion in real time to the guards by wireless or mobile networks. The goal is to communicate, in real time, the video to the guards who can be moving towards the smart home. However, this communication suffers from sporadic disruptions that difficults the control and drastically reduces user satisfaction and operativity of the system. In a novel way, we have designed a generic software architecture based on design patterns that can be adapted to any hardware in a simple way. The implanted hardware is of very low economic cost; the software frameworks are free. In the experimental tests we have shown that it is possible to communicate to the moving guard, intrusion notifications (by e-mail and by instant messaging, and the first video frames in less than 20 s. In addition, we automatically recovered the frames of video lost in the disruptions in a transparent way to the user, we supported vertical handover processes and we could save energy of the smartphone's battery. However, the most important thing was that the high satisfaction of the people who have used the system.

The influence of video recordings on beginning therapist’s learning in psychotherapy training

DEFF Research Database (Denmark)

Jacobsen, Claus Haugaard; Olesen, Mette Kirk; Kløve, Astrid

2010-01-01

the current relatively widespread use of video, one finds only a very limited number of empirical studies on how these recordings specifically influence the learning process of the beginning therapist. Aim: After a brief discussion of the pro and cons of the use of video recordings this paper presents......Background: Due to the development of technologies and the low costs, video recording of psychotherapy sessions have gained ground in training and supervision. While some praise the advantages others decline to use this technological aid for ethical, theoretical or clinical reasons. Despite...

An experimental digital consumer recorder for MPEG-coded video signals

NARCIS (Netherlands)

Saeijs, R.W.J.J.; With, de P.H.N.; Rijckaert, A.M.A.; Wong, C.

1995-01-01

The concept and real-time implementation of an experimental home-use digital recorder is presented, capable of recording MPEG-compressed video signals. The system has small recording mechanics based on the DVC standard and it uses MPEG compression for trick-mode signals as well

Evaluating Student Self-Assessment through Video-Recorded Patient Simulations.

Science.gov (United States)

Sanderson, Tammy R; Kearney, Rachel C; Kissell, Denise; Salisbury, Jessica

2016-08-01

The purpose of this pilot study was to determine if the use of a video-recorded clinical session affects the accuracy of dental hygiene student self-assessment and dental hygiene instructor feedback. A repeated measures experiment was conducted. The use of the ODU 11/12 explorer was taught to students and participating faculty through video and demonstration. Students then demonstrated activation of the explorer on a student partner using the same technique. While faculty completed the student assessment in real time, the sessions were video recorded. After completing the activation of the explorer, students and faculty completed an assessment of the student's performance using a rubric. A week later, both students and faculty viewed the video of the clinical skill performance and reassessed the student's performance using the same rubric. The student videos were randomly assigned a number, so faculty reassessed the performance without access to the student's identity or the score that was initially given. Twenty-eight students and 4 pre-clinical faculty completed the study. Students' average score was 4.68±1.16 on the first assessment and slightly higher 4.89±1.45 when reviewed by video. Faculty average scores were 5.07±2.13 at the first assessment and 4.79±2.54 on the second assessment with the video. No significant differences were found between the differences in overall scores, there was a significant difference in the scores of the grading criteria compared to the expert assessment scores (p=0.0001). This pilot study shows that calibration and assessment without bias in education is a challenge. Analyzing and incorporating new techniques can result in more exact assessment of student performance and self-assessment. Copyright © 2016 The American Dental Hygienists’ Association.

How to implement live video recording in the clinical environment: A practical guide for clinical services.

Science.gov (United States)

Lloyd, Adam; Dewar, Alistair; Edgar, Simon; Caesar, Dave; Gowens, Paul; Clegg, Gareth

2017-06-01

The use of video in healthcare is becoming more common, particularly in simulation and educational settings. However, video recording live episodes of clinical care is far less routine. To provide a practical guide for clinical services to embed live video recording. Using Kotter's 8-step process for leading change, we provide a 'how to' guide to navigate the challenges required to implement a continuous video-audit system based on our experience of video recording in our emergency department resuscitation rooms. The most significant hurdles in installing continuous video audit in a busy clinical area involve change management rather than equipment. Clinicians are faced with considerable ethical, legal and data protection challenges which are the primary barriers for services that pursue video recording of patient care. Existing accounts of video use rarely acknowledge the organisational and cultural dimensions that are key to the success of establishing a video system. This article outlines core implementation issues that need to be addressed if video is to become part of routine care delivery. By focussing on issues such as staff acceptability, departmental culture and organisational readiness, we provide a roadmap that can be pragmatically adapted by all clinical environments, locally and internationally, that seek to utilise video recording as an approach to improving clinical care. © 2017 John Wiley & Sons Ltd.

Video Recording With a GoPro in Hand and Upper Extremity Surgery.

Science.gov (United States)

Vara, Alexander D; Wu, John; Shin, Alexander Y; Sobol, Gregory; Wiater, Brett

2016-10-01

Video recordings of surgical procedures are an excellent tool for presentations, analyzing self-performance, illustrating publications, and educating surgeons and patients. Recording the surgeon's perspective with high-resolution video in the operating room or clinic has become readily available and advances in software improve the ease of editing these videos. A GoPro HERO 4 Silver or Black was mounted on a head strap and worn over the surgical scrub cap, above the loupes of the operating surgeon. Five live surgical cases were recorded with the camera. The videos were uploaded to a computer and subsequently edited with iMovie or the GoPro software. The optimal settings for both the Silver and Black editions, when operating room lights are used, were determined to be a narrow view, 1080p, 60 frames per second (fps), spot meter on, protune on with auto white balance, exposure compensation at -0.5, and without a polarizing lens. When the operating room lights were not used, it was determined that the standard settings for a GoPro camera were ideal for positioning and editing (4K, 15 frames per second, spot meter and protune off). The GoPro HERO 4 provides high-quality, the surgeon perspective, and a cost-effective video recording of upper extremity surgical procedures. Challenges include finding the optimal settings for each surgical procedure and the length of recording due to battery life limitations. Copyright © 2016 American Society for Surgery of the Hand. Published by Elsevier Inc. All rights reserved.

A semantic autonomous video surveillance system for dense camera networks in Smart Cities.

Science.gov (United States)

Calavia, Lorena; Baladrón, Carlos; Aguiar, Javier M; Carro, Belén; Sánchez-Esguevillas, Antonio

2012-01-01

This paper presents a proposal of an intelligent video surveillance system able to detect and identify abnormal and alarming situations by analyzing object movement. The system is designed to minimize video processing and transmission, thus allowing a large number of cameras to be deployed on the system, and therefore making it suitable for its usage as an integrated safety and security solution in Smart Cities. Alarm detection is performed on the basis of parameters of the moving objects and their trajectories, and is performed using semantic reasoning and ontologies. This means that the system employs a high-level conceptual language easy to understand for human operators, capable of raising enriched alarms with descriptions of what is happening on the image, and to automate reactions to them such as alerting the appropriate emergency services using the Smart City safety network.

A Semantic Autonomous Video Surveillance System for Dense Camera Networks in Smart Cities

Directory of Open Access Journals (Sweden)

Antonio Sánchez-Esguevillas

2012-08-01

Full Text Available This paper presents a proposal of an intelligent video surveillance system able to detect and identify abnormal and alarming situations by analyzing object movement. The system is designed to minimize video processing and transmission, thus allowing a large number of cameras to be deployed on the system, and therefore making it suitable for its usage as an integrated safety and security solution in Smart Cities. Alarm detection is performed on the basis of parameters of the moving objects and their trajectories, and is performed using semantic reasoning and ontologies. This means that the system employs a high-level conceptual language easy to understand for human operators, capable of raising enriched alarms with descriptions of what is happening on the image, and to automate reactions to them such as alerting the appropriate emergency services using the Smart City safety network.

Activity Recognition Using A Combination of Category Components And Local Models for Video Surveillance

OpenAIRE

Lin, Weiyao; Sun, Ming-Ting; Poovendran, Radha; Zhang, Zhengyou

2015-01-01

This paper presents a novel approach for automatic recognition of human activities for video surveillance applications. We propose to represent an activity by a combination of category components, and demonstrate that this approach offers flexibility to add new activities to the system and an ability to deal with the problem of building models for activities lacking training data. For improving the recognition accuracy, a Confident-Frame- based Recognition algorithm is also proposed, where th...

Compression evaluation of surgery video recordings retaining diagnostic credibility (compression evaluation of surgery video)

Science.gov (United States)

Duplaga, M.; Leszczuk, M. I.; Papir, Z.; Przelaskowski, A.

2008-12-01

Wider dissemination of medical digital video libraries is affected by two correlated factors, resource effective content compression that directly influences its diagnostic credibility. It has been proved that it is possible to meet these contradictory requirements halfway for long-lasting and low motion surgery recordings at compression ratios close to 100 (bronchoscopic procedures were a case study investigated). As the main supporting assumption, it has been accepted that the content can be compressed as far as clinicians are not able to sense a loss of video diagnostic fidelity (a visually lossless compression). Different market codecs were inspected by means of the combined subjective and objective tests toward their usability in medical video libraries. Subjective tests involved a panel of clinicians who had to classify compressed bronchoscopic video content according to its quality under the bubble sort algorithm. For objective tests, two metrics (hybrid vector measure and hosaka Plots) were calculated frame by frame and averaged over a whole sequence.

Cell Phone Video Recording Feature as a Language Learning Tool: A Case Study

Science.gov (United States)

Gromik, Nicolas A.

2012-01-01

This paper reports on a case study conducted at a Japanese national university. Nine participants used the video recording feature on their cell phones to produce weekly video productions. The task required that participants produce one 30-second video on a teacher-selected topic. Observations revealed the process of video creation with a cell…

Privacy preserving surveillance and the tracking-paradox

OpenAIRE

Greiner, S.; Birnstill, Pascal; Krempel, Erik; Beckert, B.; Beyerer, Jürgen

2013-01-01

Increasing capabilities of intelligent video surveillance systems impose new threats to privacy while, at the same time, offering opportunities for reducing the privacy invasiveness of surveillance measures as well as their selectivity. We show that aggregating more data about observed people does not necessarily lead to less privacy, but can increase the selectivity of surveillance measures. In case of video surveillance in a company environment, if we enable the system to authenticate emplo...

AVSS 2007: IEEE International Conference onAdvanced Video and Signal based Surveillance, London, UK, September 2007

DEFF Research Database (Denmark)

Fihl, Preben

This technical report will cover the participation in the IEEE International Conference on Advanced Video and Signal based Surveillance in September 2007. The report will give a concise description of the most relevant topics presented at the conference, focusing on the work related to the HERMES...... project and human motion and action recognition. Our contribution to the conference will also be described....

Introducing video recording in primary care midwifery for research purposes: procedure, dataset, and use.

NARCIS (Netherlands)

Spelten, E.R.; Martin, L.; Gitsels, J.T.; Pereboom, M.T.R.; Hutton, E.K.; Dulmen, S. van

2015-01-01

Background: video recording studies have been found to be complex; however very few studies describe the actual introduction and enrolment of the study, the resulting dataset and its interpretation. In this paper we describe the introduction and the use of video recordings of health care provider

Innovative uses of electronic health records and social media for public health surveillance.

Science.gov (United States)

Eggleston, Emma M; Weitzman, Elissa R

2014-03-01

Electronic health records (EHRs) and social media have the potential to enrich public health surveillance of diabetes. Clinical and patient-facing data sources for diabetes surveillance are needed given its profound public health impact, opportunity for primary and secondary prevention, persistent disparities, and requirement for self-management. Initiatives to employ data from EHRs and social media for diabetes surveillance are in their infancy. With their transformative potential come practical limitations and ethical considerations. We explore applications of EHR and social media for diabetes surveillance, limitations to approaches, and steps for moving forward in this partnership between patients, health systems, and public health.

Limits on surveillance: frictions, fragilities and failures in the operation of camera surveillance.

NARCIS (Netherlands)

Dubbeld, L.

2004-01-01

Public video surveillance tends to be discussed in either utopian or dystopian terms: proponents maintain that camera surveillance is the perfect tool in the fight against crime, while critics argue that the use of security cameras is central to the development of a panoptic, Orwellian surveillance

Use of Electronic Health Records and Administrative Data for Public Health Surveillance of Eye Health and Vision-Related Conditions

Science.gov (United States)

Elliott, Amanda; Davidson, Arthur; Lum, Flora; Chiang, Michael; Saaddine, Jinan B; Zhang, Xinzhi; Crews, John E.; Chou, Chiu-Fang

2014-01-01

Purpose To discuss the current trend toward greater use of electronic health records and how these records could enhance public health surveillance of eye health and vision-related conditions. Methods We describe three currently available sources of electronic health data (Kaiser Permanente, the Veterans Health Administration, and the Centers for Medicare & Medicaid Services) and how these sources can contribute to a comprehensive vision and eye health surveillance system. Results Each of the three sources of electronic health data can contribute meaningfully to a comprehensive vision and eye health surveillance system, but none currently provide all the information required. The use of electronic health records for vision and eye health surveillance has both advantages and disadvantages. Conclusions Electronic health records may provide additional information needed to create a comprehensive vision and eye health surveillance system. Recommendations for incorporating electronic health records into such a system are presented. PMID:23158225

75 FR 63434 - Availability of Compliance Guide for the Use of Video or Other Electronic Monitoring or Recording...

Science.gov (United States)

2010-10-15

...] Availability of Compliance Guide for the Use of Video or Other Electronic Monitoring or Recording Equipment in... the availability of a compliance guide on the use of video or other electronic monitoring or recording... providing this draft guide to advise establishments that video or other electronic monitoring or recording...

Self-Reflection of Video-Recorded High-Fidelity Simulations and Development of Clinical Judgment.

Science.gov (United States)

Bussard, Michelle E

2016-09-01

Nurse educators are increasingly using high-fidelity simulators to improve prelicensure nursing students' ability to develop clinical judgment. Traditionally, oral debriefing sessions have immediately followed the simulation scenarios as a method for students to connect theory to practice and therefore develop clinical judgment. Recently, video recording of the simulation scenarios is being incorporated. This qualitative, interpretive description study was conducted to identify whether self-reflection on video-recorded high-fidelity simulation (HFS) scenarios helped prelicensure nursing students to develop clinical judgment. Tanner's clinical judgment model was the framework for this study. Four themes emerged from this study: Confidence, Communication, Decision Making, and Change in Clinical Practice. This study indicated that self-reflection of video-recorded HFS scenarios is beneficial for prelicensure nursing students to develop clinical judgment. [J Nurs Educ. 2016;55(9):522-527.]. Copyright 2016, SLACK Incorporated.

Efficient Foreground Extraction From HEVC Compressed Video for Application to Real-Time Analysis of Surveillance 'Big' Data.

Science.gov (United States)

Dey, Bhaskar; Kundu, Malay K

2015-11-01

While surveillance video is the biggest source of unstructured Big Data today, the emergence of high-efficiency video coding (HEVC) standard is poised to have a huge role in lowering the costs associated with transmission and storage. Among the benefits of HEVC over the legacy MPEG-4 Advanced Video Coding (AVC), is a staggering 40 percent or more bitrate reduction at the same visual quality. Given the bandwidth limitations, video data are compressed essentially by removing spatial and temporal correlations that exist in its uncompressed form. This causes compressed data, which are already de-correlated, to serve as a vital resource for machine learning with significantly fewer samples for training. In this paper, an efficient approach to foreground extraction/segmentation is proposed using novel spatio-temporal de-correlated block features extracted directly from the HEVC compressed video. Most related techniques, in contrast, work on uncompressed images claiming significant storage and computational resources not only for the decoding process prior to initialization but also for the feature selection/extraction and background modeling stage following it. The proposed approach has been qualitatively and quantitatively evaluated against several other state-of-the-art methods.

People counting in classroom based on video surveillance

Science.gov (United States)

Zhang, Quanbin; Huang, Xiang; Su, Juan

2014-11-01

Currently, the switches of the lights and other electronic devices in the classroom are mainly relied on manual control, as a result, many lights are on while no one or only few people in the classroom. It is important to change the current situation and control the electronic devices intelligently according to the number and the distribution of the students in the classroom, so as to reduce the considerable waste of electronic resources. This paper studies the problem of people counting in classroom based on video surveillance. As the camera in the classroom can not get the full shape contour information of bodies and the clear features information of faces, most of the classical algorithms such as the pedestrian detection method based on HOG (histograms of oriented gradient) feature and the face detection method based on machine learning are unable to obtain a satisfied result. A new kind of dual background updating model based on sparse and low-rank matrix decomposition is proposed in this paper, according to the fact that most of the students in the classroom are almost in stationary state and there are body movement occasionally. Firstly, combining the frame difference with the sparse and low-rank matrix decomposition to predict the moving areas, and updating the background model with different parameters according to the positional relationship between the pixels of current video frame and the predicted motion regions. Secondly, the regions of moving objects are determined based on the updated background using the background subtraction method. Finally, some operations including binarization, median filtering and morphology processing, connected component detection, etc. are performed on the regions acquired by the background subtraction, in order to induce the effects of the noise and obtain the number of people in the classroom. The experiment results show the validity of the algorithm of people counting.

Change detection algorithms for surveillance in visual iot: a comparative study

International Nuclear Information System (INIS)

Akram, B.A.; Zafar, A.; Akbar, A.H.; Chaudhry, A.

2018-01-01

The VIoT (Visual Internet of Things) connects virtual information world with real world objects using sensors and pervasive computing. For video surveillance in VIoT, ChD (Change Detection) is a critical component. ChD algorithms identify regions of change in multiple images of the same scene recorded at different time intervals for video surveillance. This paper presents performance comparison of histogram thresholding and classification ChD algorithms using quantitative measures for video surveillance in VIoT based on salient features of datasets. The thresholding algorithms Otsu, Kapur, Rosin and classification methods k-means, EM (Expectation Maximization) were simulated in MATLAB using diverse datasets. For performance evaluation, the quantitative measures used include OSR (Overall Success Rate), YC (Yule’s Coefficient) and JC (Jaccard’s Coefficient), execution time and memory consumption. Experimental results showed that Kapur’s algorithm performed better for both indoor and outdoor environments with illumination changes, shadowing and medium to fast moving objects. However, it reflected degraded performance for small object size with minor changes. Otsu algorithm showed better results for indoor environments with slow to medium changes and nomadic object mobility. k-means showed good results in indoor environment with small object size producing slow change, no shadowing and scarce illumination changes. (author)

Semi-automated reviewing station for IAEA optical surveillance data

International Nuclear Information System (INIS)

Darnell, R.A.; Sonnier, C.S.

1987-01-01

A study is underway on the use of computer vision technology to assist in visual inspection of optical surveillance data. The IAEA currently uses optical surveillance as one of its principle Containment and Surveillance (C/S) measures. The review process is a very time-consuming and tedious task, due to the large amount of optical surveillance data to be reviewed. For some time, the IAEA has identified as one of its principle needs an automated optical surveillance data reviewing station that assists the reviewer in identifying activities of safeguards interest, such as the movement of a very large spent fuel cask. The present development reviewing station consists of commercially available digital image processing hardware controlled by a personal computer. The areas under study include change detection, target discrimination, tracking, and classification. Several algorithms are being evaluated in each of these areas using recorded video tape of safeguards relevant scenes. The computer vision techniques and current status of the studies are discussed

Face Recognition and Tracking in Videos

Directory of Open Access Journals (Sweden)

Swapnil Vitthal Tathe

2017-07-01

Full Text Available Advancement in computer vision technology and availability of video capturing devices such as surveillance cameras has evoked new video processing applications. The research in video face recognition is mostly biased towards law enforcement applications. Applications involves human recognition based on face and iris, human computer interaction, behavior analysis, video surveillance etc. This paper presents face tracking framework that is capable of face detection using Haar features, recognition using Gabor feature extraction, matching using correlation score and tracking using Kalman filter. The method has good recognition rate for real-life videos and robust performance to changes due to illumination, environmental factors, scale, pose and orientations.

The distinguishing motor features of cataplexy: a study from video-recorded attacks.

Science.gov (United States)

Pizza, Fabio; Antelmi, Elena; Vandi, Stefano; Meletti, Stefano; Erro, Roberto; Baumann, Christian R; Bhatia, Kailash P; Dauvilliers, Yves; Edwards, Mark J; Iranzo, Alex; Overeem, Sebastiaan; Tinazzi, Michele; Liguori, Rocco; Plazzi, Giuseppe

2018-05-01

To describe the motor pattern of cataplexy and to determine its phenomenological differences from pseudocataplexy in the differential diagnosis of episodic falls. We selected 30 video-recorded cataplexy and 21 pseudocataplexy attacks in 17 and 10 patients evaluated for suspected narcolepsy and with final diagnosis of narcolepsy type 1 and conversion disorder, respectively, together with self-reported attacks features, and asked expert neurologists to blindly evaluate the motor features of the attacks. Video documented and self-reported attack features of cataplexy and pseudocataplexy were contrasted. Video-recorded cataplexy can be positively differentiated from pseudocataplexy by the occurrence of facial hypotonia (ptosis, mouth opening, tongue protrusion) intermingled by jerks and grimaces abruptly interrupting laughter behavior (i.e. smile, facial expression) and postural control (head drops, trunk fall) under clear emotional trigger. Facial involvement is present in both partial and generalized cataplexy. Conversely, generalized pseudocataplexy is associated with persistence of deep tendon reflexes during the attack. Self-reported features confirmed the important role of positive emotions (laughter, telling a joke) in triggering the attacks, as well as the more frequent occurrence of partial body involvement in cataplexy compared with pseudocataplexy. Cataplexy is characterized by abrupt facial involvement during laughter behavior. Video recording of suspected cataplexy attacks allows the identification of positive clinical signs useful for diagnosis and, possibly in the future, for severity assessment.

Surgeon-Manipulated Live Surgery Video Recording Apparatuses: Personal Experience and Review of Literature.

Science.gov (United States)

Kapi, Emin

2017-06-01

Visual recording of surgical procedures is a method that is used quite frequently in practices of plastic surgery. While presentations containing photographs are quite common in education seminars and congresses, video-containing presentations find more favour. For this reason, the presentation of surgical procedures in the form of real-time video display has increased especially recently. Appropriate technical equipment for video recording is not available in most hospitals, so there is a need to set up external apparatus in the operating room. Among these apparatuses can be listed such options as head-mounted video cameras, chest-mounted cameras, and tripod-mountable cameras. The head-mounted video camera is an apparatus that is capable of capturing high-resolution and detailed close-up footage. The tripod-mountable camera enables video capturing from a fixed point. Certain user-specific modifications can be made to overcome some of these restrictions. Among these modifications, custom-made applications are one of the most effective solutions. The article makes an attempt to present the features and experiences concerning the use of a combination of a head- or chest-mounted action camera, a custom-made portable tripod apparatus of versatile features, and an underwater camera. The descriptions we used are quite easy-to-assembly, quickly installed, and inexpensive apparatuses that do not require specific technical knowledge and can be manipulated by the surgeon personally in all procedures. The author believes that video recording apparatuses will be integrated more to the operating room, become a standard practice, and become more enabling for self-manipulation by the surgeon in the near future. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Change Detection Algorithms for Surveillance in Visual IoT: A Comparative Study

Science.gov (United States)

Akram, Beenish Ayesha; Zafar, Amna; Akbar, Ali Hammad; Wajid, Bilal; Chaudhry, Shafique Ahmad

2018-01-01

The VIoT (Visual Internet of Things) connects virtual information world with real world objects using sensors and pervasive computing. For video surveillance in VIoT, ChD (Change Detection) is a critical component. ChD algorithms identify regions of change in multiple images of the same scene recorded at different time intervals for video surveillance. This paper presents performance comparison of histogram thresholding and classification ChD algorithms using quantitative measures for video surveillance in VIoT based on salient features of datasets. The thresholding algorithms Otsu, Kapur, Rosin and classification methods k-means, EM (Expectation Maximization) were simulated in MATLAB using diverse datasets. For performance evaluation, the quantitative measures used include OSR (Overall Success Rate), YC (Yule's Coefficient) and JC (Jaccard's Coefficient), execution time and memory consumption. Experimental results showed that Kapur's algorithm performed better for both indoor and outdoor environments with illumination changes, shadowing and medium to fast moving objects. However, it reflected degraded performance for small object size with minor changes. Otsu algorithm showed better results for indoor environments with slow to medium changes and nomadic object mobility. k-means showed good results in indoor environment with small object size producing slow change, no shadowing and scarce illumination changes.

Low-cost synchronization of high-speed audio and video recordings in bio-acoustic experiments.

Science.gov (United States)

Laurijssen, Dennis; Verreycken, Erik; Geipel, Inga; Daems, Walter; Peremans, Herbert; Steckel, Jan

2018-02-27

In this paper, we present a method for synchronizing high-speed audio and video recordings of bio-acoustic experiments. By embedding a random signal into the recorded video and audio data, robust synchronization of a diverse set of sensor streams can be performed without the need to keep detailed records. The synchronization can be performed using recording devices without dedicated synchronization inputs. We demonstrate the efficacy of the approach in two sets of experiments: behavioral experiments on different species of echolocating bats and the recordings of field crickets. We present the general operating principle of the synchronization method, discuss its synchronization strength and provide insights into how to construct such a device using off-the-shelf components. © 2018. Published by The Company of Biologists Ltd.

Learning from Multiple Sources for Video Summarisation

OpenAIRE

Zhu, Xiatian; Loy, Chen Change; Gong, Shaogang

2015-01-01

Many visual surveillance tasks, e.g.video summarisation, is conventionally accomplished through analysing imagerybased features. Relying solely on visual cues for public surveillance video understanding is unreliable, since visual observations obtained from public space CCTV video data are often not sufficiently trustworthy and events of interest can be subtle. On the other hand, non-visual data sources such as weather reports and traffic sensory signals are readily accessible but are not exp...

Indexing Motion Detection Data for Surveillance Video

DEFF Research Database (Denmark)

Vind, Søren Juhl; Bille, Philip; Gørtz, Inge Li

2014-01-01

We show how to compactly index video data to support fast motion detection queries. A query specifies a time interval T, a area A in the video and two thresholds v and p. The answer to a query is a list of timestamps in T where ≥ p% of A has changed by ≥ v values. Our results show that by building...... a small index, we can support queries with a speedup of two to three orders of magnitude compared to motion detection without an index. For high resolution video, the index size is about 20% of the compressed video size....

GPU-Accelerated Foreground Segmentation and Labeling for Real-Time Video Surveillance

Directory of Open Access Journals (Sweden)

Wei Song

2016-09-01

Full Text Available Real-time and accurate background modeling is an important researching topic in the fields of remote monitoring and video surveillance. Meanwhile, effective foreground detection is a preliminary requirement and decision-making basis for sustainable energy management, especially in smart meters. The environment monitoring results provide a decision-making basis for energy-saving strategies. For real-time moving object detection in video, this paper applies a parallel computing technology to develop a feedback foreground–background segmentation method and a parallel connected component labeling (PCCL algorithm. In the background modeling method, pixel-wise color histograms in graphics processing unit (GPU memory is generated from sequential images. If a pixel color in the current image does not locate around the peaks of its histogram, it is segmented as a foreground pixel. From the foreground segmentation results, a PCCL algorithm is proposed to cluster the foreground pixels into several groups in order to distinguish separate blobs. Because the noisy spot and sparkle in the foreground segmentation results always contain a small quantity of pixels, the small blobs are removed as noise in order to refine the segmentation results. The proposed GPU-based image processing algorithms are implemented using the compute unified device architecture (CUDA toolkit. The testing results show a significant enhancement in both speed and accuracy.

Linear array of photodiodes to track a human speaker for video recording

International Nuclear Information System (INIS)

DeTone, D; Neal, H; Lougheed, R

2012-01-01

Communication and collaboration using stored digital media has garnered more interest by many areas of business, government and education in recent years. This is due primarily to improvements in the quality of cameras and speed of computers. An advantage of digital media is that it can serve as an effective alternative when physical interaction is not possible. Video recordings that allow for viewers to discern a presenter's facial features, lips and hand motions are more effective than videos that do not. To attain this, one must maintain a video capture in which the speaker occupies a significant portion of the captured pixels. However, camera operators are costly, and often do an imperfect job of tracking presenters in unrehearsed situations. This creates motivation for a robust, automated system that directs a video camera to follow a presenter as he or she walks anywhere in the front of a lecture hall or large conference room. Such a system is presented. The system consists of a commercial, off-the-shelf pan/tilt/zoom (PTZ) color video camera, a necklace of infrared LEDs and a linear photodiode array detector. Electronic output from the photodiode array is processed to generate the location of the LED necklace, which is worn by a human speaker. The computer controls the video camera movements to record video of the speaker. The speaker's vertical position and depth are assumed to remain relatively constant– the video camera is sent only panning (horizontal) movement commands. The LED necklace is flashed at 70Hz at a 50% duty cycle to provide noise-filtering capability. The benefit to using a photodiode array versus a standard video camera is its higher frame rate (4kHz vs. 60Hz). The higher frame rate allows for the filtering of infrared noise such as sunlight and indoor lighting–a capability absent from other tracking technologies. The system has been tested in a large lecture hall and is shown to be effective.

Linear array of photodiodes to track a human speaker for video recording

Science.gov (United States)

DeTone, D.; Neal, H.; Lougheed, R.

2012-12-01

Communication and collaboration using stored digital media has garnered more interest by many areas of business, government and education in recent years. This is due primarily to improvements in the quality of cameras and speed of computers. An advantage of digital media is that it can serve as an effective alternative when physical interaction is not possible. Video recordings that allow for viewers to discern a presenter's facial features, lips and hand motions are more effective than videos that do not. To attain this, one must maintain a video capture in which the speaker occupies a significant portion of the captured pixels. However, camera operators are costly, and often do an imperfect job of tracking presenters in unrehearsed situations. This creates motivation for a robust, automated system that directs a video camera to follow a presenter as he or she walks anywhere in the front of a lecture hall or large conference room. Such a system is presented. The system consists of a commercial, off-the-shelf pan/tilt/zoom (PTZ) color video camera, a necklace of infrared LEDs and a linear photodiode array detector. Electronic output from the photodiode array is processed to generate the location of the LED necklace, which is worn by a human speaker. The computer controls the video camera movements to record video of the speaker. The speaker's vertical position and depth are assumed to remain relatively constant- the video camera is sent only panning (horizontal) movement commands. The LED necklace is flashed at 70Hz at a 50% duty cycle to provide noise-filtering capability. The benefit to using a photodiode array versus a standard video camera is its higher frame rate (4kHz vs. 60Hz). The higher frame rate allows for the filtering of infrared noise such as sunlight and indoor lighting-a capability absent from other tracking technologies. The system has been tested in a large lecture hall and is shown to be effective.

The role of electronic healthcare record databases in paediatric drug safety surveillance: A retrospective cohort study

NARCIS (Netherlands)

S. de Bie (Sandra); P.M. Coloma (Preciosa); C. Ferrajolo (Carmen); K.M.C. Verhamme (Katia); G. Trifirò (Gianluca); M.J. Schuemie (Martijn); S.M.J.M. Straus (Sabine); R. Gini (Rosa); R.M.C. Herings (Ron); G. Mazzaglia (Giampiero); G. Picelli (Gino); A. Ghirardi (Arianna); L. Pedersen (Lars); B.H.Ch. Stricker (Bruno); J. van der Lei (Johan); M.C.J.M. Sturkenboom (Miriam)

2015-01-01

textabstractAim Electronic healthcare record (EHR)-based surveillance systems are increasingly being developed to support early detection of safety signals. It is unknown what the power of such a system is for surveillance among children and adolescents. In this paper we provide estimates of the

Surgeon point-of-view recording: Using a high-definition head-mounted video camera in the operating room

Directory of Open Access Journals (Sweden)

Akshay Gopinathan Nair

2015-01-01

Full Text Available Objective: To study the utility of a commercially available small, portable ultra-high definition (HD camera (GoPro Hero 4 for intraoperative recording. Methods: A head mount was used to fix the camera on the operating surgeon′s head. Due care was taken to protect the patient′s identity. The recorded video was subsequently edited and used as a teaching tool. This retrospective, noncomparative study was conducted at three tertiary eye care centers. The surgeries recorded were ptosis correction, ectropion correction, dacryocystorhinostomy, angular dermoid excision, enucleation, blepharoplasty and lid tear repair surgery (one each. The recorded videos were reviewed, edited, and checked for clarity, resolution, and reproducibility. Results: The recorded videos were found to be high quality, which allowed for zooming and visualization of the surgical anatomy clearly. Minimal distortion is a drawback that can be effectively addressed during postproduction. The camera, owing to its lightweight and small size, can be mounted on the surgeon′s head, thus offering a unique surgeon point-of-view. In our experience, the results were of good quality and reproducible. Conclusions: A head-mounted ultra-HD video recording system is a cheap, high quality, and unobtrusive technique to record surgery and can be a useful teaching tool in external facial and ophthalmic plastic surgery.

Surgeon point-of-view recording: Using a high-definition head-mounted video camera in the operating room.

Science.gov (United States)

Nair, Akshay Gopinathan; Kamal, Saurabh; Dave, Tarjani Vivek; Mishra, Kapil; Reddy, Harsha S; Della Rocca, David; Della Rocca, Robert C; Andron, Aleza; Jain, Vandana

2015-10-01

To study the utility of a commercially available small, portable ultra-high definition (HD) camera (GoPro Hero 4) for intraoperative recording. A head mount was used to fix the camera on the operating surgeon's head. Due care was taken to protect the patient's identity. The recorded video was subsequently edited and used as a teaching tool. This retrospective, noncomparative study was conducted at three tertiary eye care centers. The surgeries recorded were ptosis correction, ectropion correction, dacryocystorhinostomy, angular dermoid excision, enucleation, blepharoplasty and lid tear repair surgery (one each). The recorded videos were reviewed, edited, and checked for clarity, resolution, and reproducibility. The recorded videos were found to be high quality, which allowed for zooming and visualization of the surgical anatomy clearly. Minimal distortion is a drawback that can be effectively addressed during postproduction. The camera, owing to its lightweight and small size, can be mounted on the surgeon's head, thus offering a unique surgeon point-of-view. In our experience, the results were of good quality and reproducible. A head-mounted ultra-HD video recording system is a cheap, high quality, and unobtrusive technique to record surgery and can be a useful teaching tool in external facial and ophthalmic plastic surgery.

Mining free-text medical records for companion animal enteric syndrome surveillance.

Science.gov (United States)

Anholt, R M; Berezowski, J; Jamal, I; Ribble, C; Stephen, C

2014-03-01

Large amounts of animal health care data are present in veterinary electronic medical records (EMR) and they present an opportunity for companion animal disease surveillance. Veterinary patient records are largely in free-text without clinical coding or fixed vocabulary. Text-mining, a computer and information technology application, is needed to identify cases of interest and to add structure to the otherwise unstructured data. In this study EMR's were extracted from veterinary management programs of 12 participating veterinary practices and stored in a data warehouse. Using commercially available text-mining software (WordStat™), we developed a categorization dictionary that could be used to automatically classify and extract enteric syndrome cases from the warehoused electronic medical records. The diagnostic accuracy of the text-miner for retrieving cases of enteric syndrome was measured against human reviewers who independently categorized a random sample of 2500 cases as enteric syndrome positive or negative. Compared to the reviewers, the text-miner retrieved cases with enteric signs with a sensitivity of 87.6% (95%CI, 80.4-92.9%) and a specificity of 99.3% (95%CI, 98.9-99.6%). Automatic and accurate detection of enteric syndrome cases provides an opportunity for community surveillance of enteric pathogens in companion animals. Copyright © 2014 Elsevier B.V. All rights reserved.

Credibility and Authenticity of Digitally Signed Videos in Traffic

Directory of Open Access Journals (Sweden)

Ivan Grgurević

2008-11-01

Full Text Available The paper presents the possibilities of insuring the credibilityand authenticity of the surveillance camera video by digitalsigning, using the public key infrastructure as part of interoperabletraffic and information system in the future intelligenttransport systems. The surveillance camera video is a sequenceof individual frames and a unique digital print, i. e. hash valueis calculated for each of these. By encryption of the hash valuesof the frames using private encryption key of the surveillancecentre, digital signatures are created and they are stored in thedatabase. The surveillance centre can issue a copy of the videoto all the interested subjects for scientific and research workand investigation. Regardless of the scope, each subsequentmanipulation of the video copy contents will certainly changethe hash value of all the frames. The procedure of determiningthe authenticity and credibility of videos is reduced to the comparisonof the hash values of the frames stored in the databaseof the surveillance centre with the values obtained from the interestedsubjects such as the traffic experts and investigators,surveillance-security services etc.

Handbook of surveillance technologies

CERN Document Server

Petersen, JK

2012-01-01

From officially sanctioned, high-tech operations to budget spy cameras and cell phone video, this updated and expanded edition of a bestselling handbook reflects the rapid and significant growth of the surveillance industry. The Handbook of Surveillance Technologies, Third Edition is the only comprehensive work to chronicle the background and current applications of the full-range of surveillance technologies--offering the latest in surveillance and privacy issues.Cutting-Edge--updates its bestselling predecessor with discussions on social media, GPS circuits in cell phones and PDAs, new GIS s

Short Report: Improving Record-Review Surveillance of Young Children with an Autism Spectrum Disorder

Science.gov (United States)

Wiggins, Lisa D.; Robins, Diana L.; Yeargin-Allsopp, Marshalyn

2013-01-01

Introduction: Records-based autism spectrum disorder surveillance developed at the Centers for Disease Control and Prevention has been extended to younger cohorts, although the utility of additional record sources has not been examined. We therefore conducted a pilot project to describe whether Centers for Disease Control and Prevention…

System and method for improving video recorder performance in a search mode

NARCIS (Netherlands)

2000-01-01

A method and apparatus wherein video images are recorded on a plurality of tracks of a tape such that, for playback in a search mode at a speed, higher than the recording speed the displayed image will consist of a plurality of contiguous parts, some of the parts being read out from tracks each

System and method for improving video recorder performance in a search mode

NARCIS (Netherlands)

1991-01-01

A method and apparatus wherein video images are recorded on a plurality of tracks of a tape such that, for playback in a search mode at a speed higher than the recording speed the displayed image will consist of a plurality of contiguous parts, some of the parts being read out from tracks each

77 FR 52317 - Record of Decision for Surveillance Towed Array Sensor System Low Frequency Active Sonar

Science.gov (United States)

2012-08-29

... DEPARTMENT OF DEFENSE Department of the Navy Record of Decision for Surveillance Towed Array Sensor System Low Frequency Active Sonar AGENCY: Department of the Navy, DoD. ACTION: Notice of decision... to employ up to four Surveillance Towed Array Sensor System Low Frequency Active (SURTASS LFA) sonar...

The development of a reliable multi-camera multiplexed CCTV system for safeguards surveillance

International Nuclear Information System (INIS)

Gilbert, R.S.; Chiang, K.S.

1986-01-01

The background, requirements and system details for a simple reliable Closed Circuit Television (CCTV) system are described. The design of the system presented allows up to 8 CCTV cameras of different makes to be multiplexed and their out-put recorded by three Time Lapse Recorders (TLRs) operating in parallel. This multiplex or MUX-CCTV system is intended to be used by the IAEA for surveillance at several nuclear facilities. The system is unique in that it allows all of the cameras to be operated asynchronously and it provides high quality video during replay. It also incorporates video event counting logic which enables IAEA inspectors to take a very quick inventory of the events which are recorded during unattended operation. This paper discusses other phases of the development for the system and it presents some speculation about future changes which may enhance performance

Privacy Implications of Surveillance Systems

DEFF Research Database (Denmark)

Thommesen, Jacob; Andersen, Henning Boje

2009-01-01

This paper presents a model for assessing the privacy „cost‟ of a surveillance system. Surveillance systems collect and provide personal information or observations of people by means of surveillance technologies such as databases, video or location tracking. Such systems can be designed for vari......This paper presents a model for assessing the privacy „cost‟ of a surveillance system. Surveillance systems collect and provide personal information or observations of people by means of surveillance technologies such as databases, video or location tracking. Such systems can be designed...... for various purposes, even as a service for those being observed, but in any case they will to some degree invade their privacy. The model provided here can indicate how invasive any particular system may be – and be used to compare the invasiveness of different systems. Applying a functional approach......, the model is established by first considering the social function of privacy in everyday life, which in turn lets us determine which different domains will be considered as private, and finally identify the different types of privacy invasion. This underlying model (function – domain – invasion) then serves...

Real-Time FPGA-Based Object Tracker with Automatic Pan-Tilt Features for Smart Video Surveillance Systems

Directory of Open Access Journals (Sweden)

Sanjay Singh

2017-05-01

Full Text Available The design of smart video surveillance systems is an active research field among the computer vision community because of their ability to perform automatic scene analysis by selecting and tracking the objects of interest. In this paper, we present the design and implementation of an FPGA-based standalone working prototype system for real-time tracking of an object of interest in live video streams for such systems. In addition to real-time tracking of the object of interest, the implemented system is also capable of providing purposive automatic camera movement (pan-tilt in the direction determined by movement of the tracked object. The complete system, including camera interface, DDR2 external memory interface controller, designed object tracking VLSI architecture, camera movement controller and display interface, has been implemented on the Xilinx ML510 (Virtex-5 FX130T FPGA Board. Our proposed, designed and implemented system robustly tracks the target object present in the scene in real time for standard PAL (720 × 576 resolution color video and automatically controls camera movement in the direction determined by the movement of the tracked object.

Design of a system based on DSP and FPGA for video recording and replaying

Science.gov (United States)

Kang, Yan; Wang, Heng

2013-08-01

This paper brings forward a video recording and replaying system with the architecture of Digital Signal Processor (DSP) and Field Programmable Gate Array (FPGA). The system achieved encoding, recording, decoding and replaying of Video Graphics Array (VGA) signals which are displayed on a monitor during airplanes and ships' navigating. In the architecture, the DSP is a main processor which is used for a large amount of complicated calculation during digital signal processing. The FPGA is a coprocessor for preprocessing video signals and implementing logic control in the system. In the hardware design of the system, Peripheral Device Transfer (PDT) function of the External Memory Interface (EMIF) is utilized to implement seamless interface among the DSP, the synchronous dynamic RAM (SDRAM) and the First-In-First-Out (FIFO) in the system. This transfer mode can avoid the bottle-neck of the data transfer and simplify the circuit between the DSP and its peripheral chips. The DSP's EMIF and two level matching chips are used to implement Advanced Technology Attachment (ATA) protocol on physical layer of the interface of an Integrated Drive Electronics (IDE) Hard Disk (HD), which has a high speed in data access and does not rely on a computer. Main functions of the logic on the FPGA are described and the screenshots of the behavioral simulation are provided in this paper. In the design of program on the DSP, Enhanced Direct Memory Access (EDMA) channels are used to transfer data between the FIFO and the SDRAM to exert the CPU's high performance on computing without intervention by the CPU and save its time spending. JPEG2000 is implemented to obtain high fidelity in video recording and replaying. Ways and means of acquiring high performance for code are briefly present. The ability of data processing of the system is desirable. And smoothness of the replayed video is acceptable. By right of its design flexibility and reliable operation, the system based on DSP and FPGA

Desain dan Implementasi Aplikasi Video Surveillance System Berbasis Web-SIG

Directory of Open Access Journals (Sweden)

I M.O. Widyantara

2015-06-01

Full Text Available Video surveillance system (VSS is an monitoring system based-on IP-camera. VSS implemented in live streaming and serves to observe and monitor a site remotely. Typically, IP- camera in the VSS has a management software application. However, for ad hoc applications, where the user wants to manage VSS independently, application management software has become ineffective. In the IP-camera installation spread over a large area, an administrator would be difficult to describe the location of the IP-camera. In addition, monitoring an area of IP- Camera will also become more difficult. By looking at some of the flaws in VSS, this paper has proposed a VSS application for easy monitoring of each IP Camera. Applications that have been proposed to integrate the concept of web-based geographical information system with the Google Maps API (Web-GIS. VSS applications built with smart features include maps ip-camera, live streaming of events, information on the info window and marker cluster. Test results showed that the application is able to display all the features built well

Simultaneous recording of EEG and electromyographic polygraphy increases the diagnostic yield of video-EEG monitoring.

Science.gov (United States)

Hill, Aron T; Briggs, Belinda A; Seneviratne, Udaya

2014-06-01

To investigate the usefulness of adjunctive electromyographic (EMG) polygraphy in the diagnosis of clinical events captured during long-term video-EEG monitoring. A total of 40 patients (21 women, 19 men) aged between 19 and 72 years (mean 43) investigated using video-EEG monitoring were studied. Electromyographic activity was simultaneously recorded with EEG in four patients selected on clinical grounds. In these patients, surface EMG electrodes were placed over muscles suspected to be activated during a typical clinical event. Of the 40 patients investigated, 24 (60%) were given a diagnosis, whereas 16 (40%) remained undiagnosed. All four patients receiving adjunctive EMG polygraphy obtained a diagnosis, with three of these diagnoses being exclusively reliant on the EMG recordings. Specifically, one patient was diagnosed with propriospinal myoclonus, another patient was diagnosed with facio-mandibular myoclonus, and a third patient was found to have bruxism and periodic leg movements of sleep. The information obtained from surface EMG recordings aided the diagnosis of clinical events captured during video-EEG monitoring in 7.5% of the total cohort. This study suggests that EEG-EMG polygraphy may be used as a technique of improving the diagnostic yield of video-EEG monitoring in selected cases.

Biased lineup instructions and face identification from video images.

Science.gov (United States)

Thompson, W Burt; Johnson, Jaime

2008-01-01

Previous eyewitness memory research has shown that biased lineup instructions reduce identification accuracy, primarily by increasing false-positive identifications in target-absent lineups. Because some attempts at identification do not rely on a witness's memory of the perpetrator but instead involve matching photos to images on surveillance video, the authors investigated the effects of biased instructions on identification accuracy in a matching task. In Experiment 1, biased instructions did not affect the overall accuracy of participants who used video images as an identification aid, but nearly all correct decisions occurred with target-present photo spreads. Both biased and unbiased instructions resulted in high false-positive rates. In Experiment 2, which focused on video-photo matching accuracy with target-absent photo spreads, unbiased instructions led to more correct responses (i.e., fewer false positives). These findings suggest that investigators should not relax precautions against biased instructions when people attempt to match photos to an unfamiliar person recorded on video.

Object Occlusion Detection Using Automatic Camera Calibration for a Wide-Area Video Surveillance System

Directory of Open Access Journals (Sweden)

Jaehoon Jung

2016-06-01

Full Text Available This paper presents an object occlusion detection algorithm using object depth information that is estimated by automatic camera calibration. The object occlusion problem is a major factor to degrade the performance of object tracking and recognition. To detect an object occlusion, the proposed algorithm consists of three steps: (i automatic camera calibration using both moving objects and a background structure; (ii object depth estimation; and (iii detection of occluded regions. The proposed algorithm estimates the depth of the object without extra sensors but with a generic red, green and blue (RGB camera. As a result, the proposed algorithm can be applied to improve the performance of object tracking and object recognition algorithms for video surveillance systems.

Use of electronic health records and administrative data for public health surveillance of eye health and vision-related conditions in the United States.

Science.gov (United States)

Elliott, Amanda F; Davidson, Arthur; Lum, Flora; Chiang, Michael F; Saaddine, Jinan B; Zhang, Xinzhi; Crews, John E; Chou, Chiu-Fang

2012-12-01

To discuss the current trend toward greater use of electronic health records and how these records could enhance public health surveillance of eye health and vision-related conditions. Perspective, comparing systems. We describe 3 currently available sources of electronic health data (Kaiser Permanente, the Veterans Health Administration, and the Centers for Medicare & Medicaid Services) and how these sources can contribute to a comprehensive vision and eye health surveillance system. Each of the 3 sources of electronic health data can contribute meaningfully to a comprehensive vision and eye health surveillance system, but none currently provide all the information required. The use of electronic health records for vision and eye health surveillance has both advantages and disadvantages. Electronic health records may provide additional information needed to create a comprehensive vision and eye health surveillance system. Recommendations for incorporating electronic health records into such a system are presented. Copyright © 2012 Elsevier Inc. All rights reserved.

VAP/VAT: video analytics platform and test bed for testing and deploying video analytics

Science.gov (United States)

Gorodnichy, Dmitry O.; Dubrofsky, Elan

2010-04-01

Deploying Video Analytics in operational environments is extremely challenging. This paper presents a methodological approach developed by the Video Surveillance and Biometrics Section (VSB) of the Science and Engineering Directorate (S&E) of the Canada Border Services Agency (CBSA) to resolve these problems. A three-phase approach to enable VA deployment within an operational agency is presented and the Video Analytics Platform and Testbed (VAP/VAT) developed by the VSB section is introduced. In addition to allowing the integration of third party and in-house built VA codes into an existing video surveillance infrastructure, VAP/VAT also allows the agency to conduct an unbiased performance evaluation of the cameras and VA software available on the market. VAP/VAT consists of two components: EventCapture, which serves to Automatically detect a "Visual Event", and EventBrowser, which serves to Display & Peruse of "Visual Details" captured at the "Visual Event". To deal with Open architecture as well as with Closed architecture cameras, two video-feed capture mechanisms have been developed within the EventCapture component: IPCamCapture and ScreenCapture.

Comparison of cardiopulmonary resuscitation techniques using video camera recordings.

OpenAIRE

Mann, C J; Heyworth, J

1996-01-01

OBJECTIVE--To use video recordings to compare the performance of resuscitation teams in relation to their previous training in cardiac resuscitation. METHODS--Over a 10 month period all cardiopulmonary resuscitations carried out in an accident and emergency (A&E) resuscitation room were videotaped. The following variables were monitored: (1) time to perform three defibrillatory shocks; (2) time to give intravenous adrenaline (centrally or peripherally); (3) the numbers and grade of medical an...

Usefulness of video images from a X-ray simulator in recordings of the treatment portal of pulmonary lesion

International Nuclear Information System (INIS)

Nishioka, Masayuki; Sakurai, Makoto; Fujioka, Tomio; Fukuoka, Masahiro; Kusunoki, Yoko; Nakajima, Toshifumi; Onoyama, Yasuto.

1992-01-01

Movement of the target volume should be taken into consideration in treatment planning. Respiratory movement is the greatest motion in radiotherapy for the pulmonary lesion. We combined video with a X-ray simulator to record movement. Of 50 patients whose images were recorded, respiratory movements of 0 to 4 mm, of 5 to 9 mm, and of more than 10 mm were observed in 13, 21, and 16 patients, respectively. Discrepancies of 5 to 9 mm and of more than 10 mm between simulator films and video images were observed in 14 and 13 patients, respectively. These results show that video images are useful in recording the movement while considering respiratory motion. We recommend that video system added to a X-ray simulator is used for treatment planning, especially in radiotherapy for the pulmonary lesion. (author)

Long-Term Surveillance and Maintenance Records: Maintaining Access to the Knowledge - 13122

International Nuclear Information System (INIS)

Montgomery, John; Gueretta, Jeanie; McKinney, Ruth; Anglim, Cliff

2013-01-01

The U.S. Department of Energy (DOE) Office of Legacy Management (LM) is an integral part of DOE's strategy to ensure that legacy liabilities of former nuclear weapons production sites are properly managed following the completion of environmental cleanup activities. In the area of environmental legacy management, records management is crucial to the protection of health, environmental, and legal interests of the Department and the public. LM is responsible for maintaining long-term surveillance and maintenance (LTS and M) records in performance of its mission. Maintaining access to the knowledge contained in these record collections is one of LM's primary responsibilities. To fulfill this responsibility, LM established a consolidated records management facility, the LM Business Center (LMBC), to house physical media records and electronic records. A new electronic record keeping system (ERKS) was needed to replace an obsolete system while helping to ensure LM is able to meet ongoing responsibilities to maintain access to knowledge and control the life cycle management of records. (authors)

Using Grounded Theory to Analyze Qualitative Observational Data that is Obtained by Video Recording

Directory of Open Access Journals (Sweden)

Colin Griffiths

2013-06-01

Full Text Available This paper presents a method for the collection and analysis of qualitative data that is derived by observation and that may be used to generate a grounded theory. Video recordings were made of the verbal and non-verbal interactions of people with severe and complex disabilities and the staff who work with them. Three dyads composed of a student/teacher or carer and a person with a severe or profound intellectual disability were observed in a variety of different activities that took place in a school. Two of these recordings yielded 25 minutes of video, which was transcribed into narrative format. The nature of the qualitative micro data that was captured is described and the fit between such data and classic grounded theory is discussed. The strengths and weaknesses of the use of video as a tool to collect data that is amenable to analysis using grounded theory are considered. The paper concludes by suggesting that using classic grounded theory to analyze qualitative data that is collected using video offers a method that has the potential to uncover and explain patterns of non-verbal interactions that were not previously evident.

SMART VIDEO SURVEILLANCE SYSTEM FOR VEHICLE DETECTION AND TRAFFIC FLOW CONTROL

Directory of Open Access Journals (Sweden)

A. A. SHAFIE

2011-08-01

Full Text Available Traffic signal light can be optimized using vehicle flow statistics obtained by Smart Video Surveillance Software (SVSS. This research focuses on efficient traffic control system by detecting and counting the vehicle numbers at various times and locations. At present, one of the biggest problems in the main city in any country is the traffic jam during office hour and office break hour. Sometimes it can be seen that the traffic signal green light is still ON even though there is no vehicle coming. Similarly, it is also observed that long queues of vehicles are waiting even though the road is empty due to traffic signal light selection without proper investigation on vehicle flow. This can be handled by adjusting the vehicle passing time implementing by our developed SVSS. A number of experiment results of vehicle flows are discussed in this research graphically in order to test the feasibility of the developed system. Finally, adoptive background model is proposed in SVSS in order to successfully detect target objects such as motor bike, car, bus, etc.

Verification experiment on the downblending of high enriched uranium (HEU) at the Portsmouth Gaseous Diffusion Plant. Digital video surveillance of the HEU feed stations

International Nuclear Information System (INIS)

Martinez, R.L.; Tolk, K.; Whiting, N.; Castleberry, K.; Lenarduzzi, R.

1998-01-01

As part of a Safeguards Agreement between the US and the International Atomic Energy Agency (IAEA), the Portsmouth Gaseous Diffusion Plant, Piketon, Ohio, was added to the list of facilities eligible for the application of IAEA safeguards. Currently, the facility is in the process of downblending excess inventory of HEU to low enriched uranium (LEU) from US defense related programs for commercial use. An agreement was reached between the US and the IAEA that would allow the IAEA to conduct an independent verification experiment at the Portsmouth facility, resulting in the confirmation that the HEU was in fact downblended. The experiment provided an opportunity for the DOE laboratories to recommend solutions/measures for new IAEA safeguards applications. One of the measures recommended by Sandia National Laboratories (SNL), and selected by the IAEA, was a digital video surveillance system for monitoring activity at the HEU feed stations. This paper describes the SNL implementation of the digital video system and its integration with the Load Cell Based Weighing System (LCBWS) from Oak Ridge National Laboratory (ORNL). The implementation was based on commercially available technology that also satisfied IAEA criteria for tamper protection and data authentication. The core of the Portsmouth digital video surveillance system was based on two Digital Camera Modules (DMC-14) from Neumann Consultants, Germany

Let's Make a Movie: Investigating Pre-Service Teachers' Reflections on Using Video Recorded Role Playing Cases in Turkey

Science.gov (United States)

Koc, Mustafa

2011-01-01

This study examined the potential consequences of using student-filmed video cases in the study of classroom management in teacher education. Pre-service teachers in groups were engaged in video-recorded role playing to simulate classroom memoirs. Each group shared their video cases and interpretations in a class presentation. Qualitative data…

Video redaction: a survey and comparison of enabling technologies

Science.gov (United States)

Sah, Shagan; Shringi, Ameya; Ptucha, Raymond; Burry, Aaron; Loce, Robert

2017-09-01

With the prevalence of video recordings from smart phones, dash cams, body cams, and conventional surveillance cameras, privacy protection has become a major concern, especially in light of legislation such as the Freedom of Information Act. Video redaction is used to obfuscate sensitive and personally identifiable information. Today's typical workflow involves simple detection, tracking, and manual intervention. Automated methods rely on accurate detection mechanisms being paired with robust tracking methods across the video sequence to ensure the redaction of all sensitive information while minimizing spurious obfuscations. Recent studies have explored the use of convolution neural networks and recurrent neural networks for object detection and tracking. The present paper reviews the redaction problem and compares a few state-of-the-art detection, tracking, and obfuscation methods as they relate to redaction. The comparison introduces an evaluation metric that is specific to video redaction performance. The metric can be evaluated in a manner that allows balancing the penalty for false negatives and false positives according to the needs of particular application, thereby assisting in the selection of component methods and their associated hyperparameters such that the redacted video has fewer frames that require manual review.

Localizing wushu players on a platform based on a video recording

Science.gov (United States)

Peczek, Piotr M.; Zabołotny, Wojciech M.

2017-08-01

This article describes the development of a method to localize an athlete during sports performance on a platform, based on a static video recording. Considered sport for this method is wushu - martial art. However, any other discipline can be applied. There are specified requirements, and 2 algorithms of image processing are described. The next part presents an experiment that was held based on recordings from the Pan American Wushu Championship. Based on those recordings the steps of the algorithm are shown. Results are evaluated manually. The last part of the article concludes if the algorithm is applicable and what improvements have to be implemented to use it during sports competitions as well as for offline analysis.

Zoneminder as ‘Software as a Service’ and Load Balancing of Video Surveillance Requests

DEFF Research Database (Denmark)

Deshmukh, Aaradhana A.; Mihovska, Albena D.; Prasad, Ramjee

2012-01-01

Cloud computing is evolving as a key computing platform for sharing resources that include infrastructures, softwares, applications, and business processes. Virtualization is a core technology for enabling cloud resource sharing. Software as a Service (SaaS) on the cloud platform provides software...... application vendors a Web based delivery model to serve large amount of clients with multi-tenancy based infrastructure and application sharing architecture so as to get great benefit from the economy of scale. The emergence of the Software-as-a-Service (SaaS) business model has attracted great attentions...... from both researchers and practitioners. SaaS vendors deliver on demand information processing services to users, and thus offer computing utility rather than the standalone software itself. This paper proposes a deployment of an open source video surveillance application named Zoneminder...

Long-Term Surveillance and Maintenance Records: Maintaining Access to the Knowledge - 13122

Energy Technology Data Exchange (ETDEWEB)

Montgomery, John; Gueretta, Jeanie [U.S. Department of Energy Office of Legacy Management, 99 Research Park Road Morgantown, WV 26505 (United States); McKinney, Ruth; Anglim, Cliff [Source One Management, Inc. (United States)

2013-07-01

The U.S. Department of Energy (DOE) Office of Legacy Management (LM) is an integral part of DOE's strategy to ensure that legacy liabilities of former nuclear weapons production sites are properly managed following the completion of environmental cleanup activities. In the area of environmental legacy management, records management is crucial to the protection of health, environmental, and legal interests of the Department and the public. LM is responsible for maintaining long-term surveillance and maintenance (LTS and M) records in performance of its mission. Maintaining access to the knowledge contained in these record collections is one of LM's primary responsibilities. To fulfill this responsibility, LM established a consolidated records management facility, the LM Business Center (LMBC), to house physical media records and electronic records. A new electronic record keeping system (ERKS) was needed to replace an obsolete system while helping to ensure LM is able to meet ongoing responsibilities to maintain access to knowledge and control the life cycle management of records. (authors)

Super VHS video cassette recorder, A-SB88; Super VHS video A-SB88

Energy Technology Data Exchange (ETDEWEB)

NONE

1999-03-01

A super VHS video cassette recorder, A-SB88, was commercialized having no compromised aspects at all in picture quality, sound quality, operability, energy conservation, design, etc. In the picture quality, the VCR is mounted with the S-ET system capable of realizing a quality comparable to SVHS with a three-dimensional Y/C detached circuit for dynamic moving image detection, three-dimensional DNR(digital noise reduction) and TBC(time base corrector), FE(flying erase) circuit, and a normal tape. In the operability, it is provided with a remote control transfer in large LCD, 400x high speed rewind, reservation system capable of simply reserving a serial drama for example, and a function for searching the end of picture recording; also, in the environmental aspect, the stand-by power consumption was reduced to 1/10 of conventional models (ratio with Toshiba A-BS6 at display power off). (translated by NEDO)

Dominant object detection for autonomous vision-based surveillance

NARCIS (Netherlands)

Celik, H.

2010-01-01

The deployment of visual surveillance and monitoring systems has reached massive proportions. Consequently, a need to automate the processes involved in retrieving useful information from surveillance videos, such as detecting and counting objects, and interpreting their individual and joint

WORKPLACE SURVEILLANCE: BIG BROTHER IS WATCHING YOU?

Directory of Open Access Journals (Sweden)

Corneliu BÎRSAN

2018-05-01

Full Text Available Only recently workplace surveillance has become a real concern of the international community. Very often we hear about employers who monitor and record the actions of their employees, in order to check for any breaches of company policies or procedures, to ensure that appropriate behaviour standards are being met and that company property, confidential information and intellectual property is not being damaged. Surveillance at workplace may include inter alia monitoring of telephone and internet use, opening of personal files stored on a professional computer, video surveillance. But what if this monitoring or recording breaches human rights? In order to give practical examples for these means, we shall proceed to a chronological analysis of the most relevant cases dealt by the European Court of Human Rights along the time, in which the Strasbourg judges decided that the measures taken by the employers exceed the limits given by Article 8 of the Convention. After providing the most relevant examples from the Court’s case-law in this field, we shall analyse the outcome of the recent Grand Chamber Barbulescu v. Romania judgment. The purpose of this study is to offer to the interested legal professionals and to the domestic authorities of the Member States the information in order to adequately protect the right of each individual to respect for his or her private life and correspondence under the European Convention on Human Rights.

Improvement of Skills in Cardiopulmonary Resuscitation of Pediatric Residents by Recorded Video Feedbacks.

Science.gov (United States)

Anantasit, Nattachai; Vaewpanich, Jarin; Kuptanon, Teeradej; Kamalaporn, Haruitai; Khositseth, Anant

2016-11-01

To evaluate the pediatric residents' cardiopulmonary resuscitation (CPR) skills, and their improvements after recorded video feedbacks. Pediatric residents from a university hospital were enrolled. The authors surveyed the level of pediatric resuscitation skill confidence by a questionnaire. Eight psychomotor skills were evaluated individually, including airway, bag-mask ventilation, pulse check, prompt starting and technique of chest compression, high quality CPR, tracheal intubation, intraosseous, and defibrillation. The mock code skills were also evaluated as a team using a high-fidelity mannequin simulator. All the participants attended a concise Pediatric Advanced Life Support (PALS) lecture, and received video-recorded feedback for one hour. They were re-evaluated 6 wk later in the same manner. Thirty-eight residents were enrolled. All the participants had a moderate to high level of confidence in their CPR skills. Over 50 % of participants had passed psychomotor skills, except the bag-mask ventilation and intraosseous skills. There was poor correlation between their confidence and passing the psychomotor skills test. After course feedback, the percentage of high quality CPR skill in the second course test was significantly improved (46 % to 92 %, p = 0.008). The pediatric resuscitation course should still remain in the pediatric resident curriculum and should be re-evaluated frequently. Video-recorded feedback on the pitfalls during individual CPR skills and mock code case scenarios could improve short-term psychomotor CPR skills and lead to higher quality CPR performance.

Improvements for optical surveillance systems in international safeguards

International Nuclear Information System (INIS)

Richter, B.; Stein, G.; Neumann, G.; Gaertner, K.J.; Whichello, J.N.

1988-01-01

Within the next few years, a transition from film camera systems to video surveillance systems will take place in international safeguards. In order to maintain the indispensable requirements of reliability and authentication, development and tests continued under the Federal Republic of Germany Support Programme of video components for IAEA safeguards applications. The prototype of a tamper resistant TV-link was developed under Task D.12/4/. A field test of the TV-link is in preparation using a production model suitable for multiplexed TV applications. The test will utilize an Agency owned, multiplexed TV system. An evaluation of the tamper resistant TV-link is given. After a successful field trial of the prototype Solid State Video Memory (SSVM-516) under task D.14 a production model has been developed under Task D.17. Several operating modes are envisaged, depending on whether it will be used in an on-site video surveillance system or in a video review station. The concept and technical features, including an explanation of the function of the video memory, are discussed

In Pursuit of Reciprocity: Researchers, Teachers, and School Reformers Engaged in Collaborative Analysis of Video Records

Science.gov (United States)

Curry, Marnie W.

2012-01-01

In the ideal, reciprocity in qualitative inquiry occurs when there is give-and-take between researchers and the researched; however, the demands of the academy and resource constraints often make the pursuit of reciprocity difficult. Drawing on two video-based, qualitative studies in which researchers utilized video records as resources to enhance…

EEG in the classroom: Synchronised neural recordings during video presentation

DEFF Research Database (Denmark)

Poulsen, Andreas Trier; Kamronn, Simon Due; Dmochowski, Jacek

2017-01-01

We performed simultaneous recordings of electroencephalography (EEG) from multiple students in a classroom, and measured the inter-subject correlation (ISC) of activity evoked by a common video stimulus. The neural reliability, as quantified by ISC, has been linked to engagement and attentional......-evoked neural responses, known to be modulated by attention, can be tracked for groups of students with synchronized EEG acquisition. This is a step towards real-time inference of engagement in the classroom....

The Pedagogy of the Observed: How Does Surveillance Technology Influence Dance Studio Education?

Science.gov (United States)

Berg, Tanya

2015-01-01

A local trend in commercial dance studio education is the implementation of real-time digital video surveillance. This case study explores how digital video cameras in the dance studio environment affect asymmetrical power relationships already present in the commercial studio setting, as well as how surveillance impacts feminist pedagogical…

Quality Assessment of Compressed Video for Automatic License Plate Recognition

DEFF Research Database (Denmark)

Ukhanova, Ann; Støttrup-Andersen, Jesper; Forchhammer, Søren

2014-01-01

Definition of video quality requirements for video surveillance poses new questions in the area of quality assessment. This paper presents a quality assessment experiment for an automatic license plate recognition scenario. We explore the influence of the compression by H.264/AVC and H.265/HEVC s...... recognition in our study has a behavior similar to human recognition, allowing the use of the same mathematical models. We furthermore propose an application of one of the models for video surveillance systems......Definition of video quality requirements for video surveillance poses new questions in the area of quality assessment. This paper presents a quality assessment experiment for an automatic license plate recognition scenario. We explore the influence of the compression by H.264/AVC and H.265/HEVC...... standards on the recognition performance. We compare logarithmic and logistic functions for quality modeling. Our results show that a logistic function can better describe the dependence of recognition performance on the quality for both compression standards. We observe that automatic license plate...

Video-Recorded Validation of Wearable Step Counters under Free-living Conditions.

Science.gov (United States)

Toth, Lindsay P; Park, Susan; Springer, Cary M; Feyerabend, McKenzie D; Steeves, Jeremy A; Bassett, David R

2018-06-01

The purpose of this study was to determine the accuracy of 14-step counting methods under free-living conditions. Twelve adults (mean ± SD age, 35 ± 13 yr) wore a chest harness that held a GoPro camera pointed down at the feet during all waking hours for 1 d. The GoPro continuously recorded video of all steps taken throughout the day. Simultaneously, participants wore two StepWatch (SW) devices on each ankle (all programmed with different settings), one activPAL on each thigh, four devices at the waist (Fitbit Zip, Yamax Digi-Walker SW-200, New Lifestyles NL-2000, and ActiGraph GT9X (AG)), and two devices on the dominant and nondominant wrists (Fitbit Charge and AG). The GoPro videos were downloaded to a computer and researchers counted steps using a hand tally device, which served as the criterion method. The SW devices recorded between 95.3% and 102.8% of actual steps taken throughout the day (P > 0.05). Eleven step counting methods estimated less than 100% of actual steps; Fitbit Zip, Yamax Digi-Walker SW-200, and AG with the moving average vector magnitude algorithm on both wrists recorded 71% to 91% of steps (P > 0.05), whereas the activPAL, New Lifestyles NL-2000, and AG (without low-frequency extension (no-LFE), moving average vector magnitude) worn on the hip, and Fitbit Charge recorded 69% to 84% of steps (P 0.05), whereas the AG (LFE) on both wrists and the hip recorded 128% to 220% of steps (P < 0.05). Across all waking hours of 1 d, step counts differ between devices. The SW, regardless of settings, was the most accurate method of counting steps.

The client’s ideas and fantasies of the supervisor in video recorded psychotherapy

DEFF Research Database (Denmark)

Jacobsen, Claus Haugaard; Jensen, Karen Boelt; Madsen, Ninna Skov

2010-01-01

Aim: Despite the current relatively widespread use of video as a supervisory tool, there are few empirical studies on how recordings influence the relationship between client and supervisor. This paper presents a qualitative, explorative study of clients’ experience of having their psychotherapy...

Automated motion imagery exploitation for surveillance and reconnaissance

Science.gov (United States)

Se, Stephen; Laliberte, France; Kotamraju, Vinay; Dutkiewicz, Melanie

2012-06-01

Airborne surveillance and reconnaissance are essential for many military missions. Such capabilities are critical for troop protection, situational awareness, mission planning and others, such as post-operation analysis / damage assessment. Motion imagery gathered from both manned and unmanned platforms provides surveillance and reconnaissance information that can be used for pre- and post-operation analysis, but these sensors can gather large amounts of video data. It is extremely labour-intensive for operators to analyse hours of collected data without the aid of automated tools. At MDA Systems Ltd. (MDA), we have previously developed a suite of automated video exploitation tools that can process airborne video, including mosaicking, change detection and 3D reconstruction, within a GIS framework. The mosaicking tool produces a geo-referenced 2D map from the sequence of video frames. The change detection tool identifies differences between two repeat-pass videos taken of the same terrain. The 3D reconstruction tool creates calibrated geo-referenced photo-realistic 3D models. The key objectives of the on-going project are to improve the robustness, accuracy and speed of these tools, and make them more user-friendly to operational users. Robustness and accuracy are essential to provide actionable intelligence, surveillance and reconnaissance information. Speed is important to reduce operator time on data analysis. We are porting some processor-intensive algorithms to run on a Graphics Processing Unit (GPU) in order to improve throughput. Many aspects of video processing are highly parallel and well-suited for optimization on GPUs, which are now commonly available on computers. Moreover, we are extending the tools to handle video data from various airborne platforms and developing the interface to the Coalition Shared Database (CSD). The CSD server enables the dissemination and storage of data from different sensors among NATO countries. The CSD interface allows

Optimization of video capturing and tone mapping in video camera systems

NARCIS (Netherlands)

Cvetkovic, S.D.

2011-01-01

Image enhancement techniques are widely employed in many areas of professional and consumer imaging, machine vision and computational imaging. Image enhancement techniques used in surveillance video cameras are complex systems involving controllable lenses, sensors and advanced signal processing. In

Does Wearable Medical Technology With Video Recording Capability Add Value to On-Call Surgical Evaluations?

Science.gov (United States)

Gupta, Sameer; Boehme, Jacqueline; Manser, Kelly; Dewar, Jannine; Miller, Amie; Siddiqui, Gina; Schwaitzberg, Steven D

2016-10-01

Background Google Glass has been used in a variety of medical settings with promising results. We explored the use and potential value of an asynchronous, near-real time protocol-which avoids transmission issues associated with real-time applications-for recording, uploading, and viewing of high-definition (HD) visual media in the emergency department (ED) to facilitate remote surgical consults. Study Design First-responder physician assistants captured pertinent aspects of the physical examination and diagnostic imaging using Google Glass' HD video or high-resolution photographs. This visual media were then securely uploaded to the study website. The surgical consultation then proceeded over the phone in the usual fashion and a clinical decision was made. The surgeon then accessed the study website to review the uploaded video. This was followed by a questionnaire regarding how the additional data impacted the consultation. Results The management plan changed in 24% (11) of cases after surgeons viewed the video. Five of these plans involved decision making regarding operative intervention. Although surgeons were generally confident in their initial management plan, confidence scores increased further in 44% (20) of cases. In addition, we surveyed 276 ED patients on their opinions regarding concerning the practice of health care providers wearing and using recording devices in the ED. The survey results revealed that the majority of patients are amenable to the addition of wearable technology with video functionality to their care. Conclusions This study demonstrates the potential value of a medically dedicated, hands-free, HD recording device with internet connectivity in facilitating remote surgical consultation. © The Author(s) 2016.

Head-camera video recordings of trauma core competency procedures can evaluate surgical resident's technical performance as well as colocated evaluators.

Science.gov (United States)

Mackenzie, Colin F; Pasley, Jason; Garofalo, Evan; Shackelford, Stacy; Chen, Hegang; Longinaker, Nyaradzo; Granite, Guinevere; Pugh, Kristy; Hagegeorge, George; Tisherman, Samuel A

2017-07-01

Unbiased evaluation of trauma core competency procedures is necessary to determine if residency and predeployment training courses are useful. We tested whether a previously validated individual procedure score (IPS) for individual procedure vascular exposure and fasciotomy (FAS) performance skills could discriminate training status by comparing IPS of evaluators colocated with surgeons to blind video evaluations. Performance of axillary artery (AA), brachial artery (BA), and femoral artery (FA) vascular exposures and lower extremity FAS on fresh cadavers by 40 PGY-2 to PGY-6 residents was video-recorded from head-mounted cameras. Two colocated trained evaluators assessed IPS before and after training. One surgeon in each pretraining tertile of IPS for each procedure was randomly identified for blind video review. The same 12 surgeons were video-recorded repeating the procedures less than 4 weeks after training. Five evaluators independently reviewed all 96 randomly arranged deidentified videos. Inter-rater reliability/consistency, intraclass correlation coefficients were compared by colocated versus video review of IPS, and errors. Study methodology and bias were judged by Medical Education Research Study Quality Instrument and the Quality Assessment of Diagnostic Accuracy Studies criteria. There were no differences (p ≥ 0.5) in IPS for AA, FA, FAS, whether evaluators were colocated or reviewed video recordings. Evaluator consistency was 0.29 (BA) - 0.77 (FA). Video and colocated evaluators were in total agreement (p = 1.0) for error recognition. Intraclass correlation coefficient was 0.73 to 0.92, dependent on procedure. Correlations video versus colocated evaluations were 0.5 to 0.9. Except for BA, blinded video evaluators discriminated (p competency. Prognostic study, level II.

Application of video recording technology to improve husbandry and reproduction in the carmine bee-eater (Merops n. nubicus).

Science.gov (United States)

Ferrie, Gina M; Sky, Christy; Schutz, Paul J; Quinones, Glorieli; Breeding, Shawnlei; Plasse, Chelle; Leighty, Katherine A; Bettinger, Tammie L

2016-01-01

Incorporating technology with research is becoming increasingly important to enhance animal welfare in zoological settings. Video technology is used in the management of avian populations to facilitate efficient information collection on aspects of avian reproduction that are impractical or impossible to obtain through direct observation. Disney's Animal Kingdom(®) maintains a successful breeding colony of Northern carmine bee-eaters. This African species is a cavity nester, making their nesting behavior difficult to study and manage in an ex situ setting. After initial research focused on developing a suitable nesting environment, our goal was to continue developing methods to improve reproductive success and increase likelihood of chicks fledging. We installed infrared bullet cameras in five nest boxes and connected them to a digital video recording system, with data recorded continuously through the breeding season. We then scored and summarized nesting behaviors. Using remote video methods of observation provided much insight into the behavior of the birds in the colony's nest boxes. We observed aggression between birds during the egg-laying period, and therefore immediately removed all of the eggs for artificial incubation which completely eliminated egg breakage. We also used observations of adult feeding behavior to refine chick hand-rearing diet and practices. Although many video recording configurations have been summarized and evaluated in various reviews, we found success with the digital video recorder and infrared cameras described here. Applying emerging technologies to cavity nesting avian species is a necessary addition to improving management in and sustainability of zoo avian populations. © 2015 Wiley Periodicals, Inc.

Multi-level human motion analysis for surveillance applications

NARCIS (Netherlands)

Lao, W.; Han, Jungong; With, de P.H.N.; Rabbani, M.; Stevenson, R.L.

2009-01-01

In this paper, we study a flexible framework for semantic analysis of human motion from a monocular surveillance video. Successful trajectory estimation and human-body modeling facilitate the semantic analysis of human activities in video sequences. As a first contribution, we propose a flexible

Observing the Testing Effect using Coursera Video-recorded Lectures: A Preliminary Study

Directory of Open Access Journals (Sweden)

Paul Zhihao eYONG

2016-01-01

Full Text Available We investigated the testing effect in Coursera video-based learning. One hundred and twenty-three participants either (a studied an instructional video-recorded lecture four times, (b studied the lecture three times and took one recall test, or (c studied the lecture once and took three tests. They then took a final recall test, either immediately or a week later, through which their learning was assessed. Whereas repeated studying produced better recall performance than did repeated testing when the final test was administered immediately, testing produced better performance when the final test was delayed until a week after. The testing effect was observed using Coursera lectures. Future directions are documented.

Encrypted IP video communication system

Science.gov (United States)

Bogdan, Apetrechioaie; Luminiţa, Mateescu

2010-11-01

Digital video transmission is a permanent subject of development, research and improvement. This field of research has an exponentially growing market in civil, surveillance, security and military aplications. A lot of solutions: FPGA, ASIC, DSP have been used for this purpose. The paper presents the implementation of an encrypted, IP based, video communication system having a competitive performance/cost ratio .

Collaborative real-time scheduling of multiple PTZ cameras for multiple object tracking in video surveillance

Science.gov (United States)

Liu, Yu-Che; Huang, Chung-Lin

2013-03-01

This paper proposes a multi-PTZ-camera control mechanism to acquire close-up imagery of human objects in a surveillance system. The control algorithm is based on the output of multi-camera, multi-target tracking. Three main concerns of the algorithm are (1) the imagery of human object's face for biometric purposes, (2) the optimal video quality of the human objects, and (3) minimum hand-off time. Here, we define an objective function based on the expected capture conditions such as the camera-subject distance, pan tile angles of capture, face visibility and others. Such objective function serves to effectively balance the number of captures per subject and quality of captures. In the experiments, we demonstrate the performance of the system which operates in real-time under real world conditions on three PTZ cameras.

Video motion detection for physical security applications

International Nuclear Information System (INIS)

Matter, J.C.

1990-01-01

Physical security specialists have been attracted to the concept of video motion detection for several years. Claimed potential advantages included additional benefit from existing video surveillance systems, automatic detection, improved performance compared to human observers, and cost-effectiveness. In recent years, significant advances in image-processing dedicated hardware and image analysis algorithms and software have accelerated the successful application of video motion detection systems to a variety of physical security applications. Early video motion detectors (VMDs) were useful for interior applications of volumetric sensing. Success depended on having a relatively well-controlled environment. Attempts to use these systems outdoors frequently resulted in an unacceptable number of nuisance alarms. Currently, Sandia National Laboratories (SNL) is developing several advanced systems that employ image-processing techniques for a broader set of safeguards and security applications. The Target Cueing and Tracking System (TCATS), the Video Imaging System for Detection, Tracking, and Assessment (VISDTA), the Linear Infrared Scanning Array (LISA); the Mobile Intrusion Detection and Assessment System (MIDAS), and the Visual Artificially Intelligent Surveillance (VAIS) systems are described briefly

The impact of online video lecture recordings and automated feedback on student performance

NARCIS (Netherlands)

Wieling, M. B.; Hofman, W. H. A.

To what extent a blended learning configuration of face-to-face lectures, online on-demand video recordings of the face-to-face lectures and the offering of online quizzes with appropriate feedback has an additional positive impact on the performance of these students compared to the traditional

Video Recording and the Research Process

Science.gov (United States)

Leung, Constant; Hawkins, Margaret R.

2011-01-01

This is a two-part discussion. Part 1 is entitled "English Language Learning in Subject Lessons", and Part 2 is titled "Video as a Research Tool/Counterpoint". Working with different research concerns, the authors attempt to draw attention to a set of methodological and theoretical issues that have emerged in the research process using video data.…

Analyzing communication skills of Pediatric Postgraduate Residents in Clinical Encounter by using video recordings.

Science.gov (United States)

Bari, Attia; Khan, Rehan Ahmed; Jabeen, Uzma; Rathore, Ahsan Waheed

2017-01-01

To analyze communication skills of pediatric postgraduate residents in clinical encounter by using video recordings. This qualitative exploratory research was conducted through video recording at The Children's Hospital Lahore, Pakistan. Residents who had attended the mandatory communication skills workshop offered by CPSP were included. The video recording of clinical encounter was done by a trained audiovisual person while the resident was interacting with the patient in the clinical encounter. Data was analyzed by thematic analysis. Initially on open coding 36 codes emerged and then through axial and selective coding these were condensed to 17 subthemes. Out of these four main themes emerged: (1) Courteous and polite attitude, (2) Marginal nonverbal communication skills, (3) Power game/Ignoring child participation and (4) Patient as medical object/Instrumental behaviour. All residents treated the patient as a medical object to reach a right diagnosis and ignored them as a human being. There was dominant role of doctors and marginal nonverbal communication skills were displayed by the residents in the form of lack of social touch, and appropriate eye contact due to documenting notes. A brief non-medical interaction for rapport building at the beginning of interaction was missing and there was lack of child involvement. Paediatric postgraduate residents were polite while communicating with parents and child but lacking in good nonverbal communication skills. Communication pattern in our study was mostly one-way showing doctor's instrumental behaviour and ignoring the child participation.

Video-recorded simulated patient interactions: can they help develop clinical and communication skills in today's learning environment?

Science.gov (United States)

Seif, Gretchen A; Brown, Debora

2013-01-01

It is difficult to provide real-world learning experiences for students to master clinical and communication skills. The purpose of this paper is to describe a novel instructional method using self- and peer-assessment, reflection, and technology to help students develop effective interpersonal and clinical skills. The teaching method is described by the constructivist learning theory and incorporates the use of educational technology. The learning activities were incorporated into the pre-clinical didactic curriculum. The students participated in two video-recording assignments and performed self-assessments on each and had a peer-assessment on the second video-recording. The learning activity was evaluated through the self- and peer-assessments and an instructor-designed survey. This evaluation identified several themes related to the assignment, student performance, clinical behaviors and establishing rapport. Overall the students perceived that the learning activities assisted in the development of clinical and communication skills prior to direct patient care. The use of video recordings of a simulated history and examination is a unique learning activity for preclinical PT students in the development of clinical and communication skills.

Characterization of Axial Inducer Cavitation Instabilities via High Speed Video Recordings

Science.gov (United States)

Arellano, Patrick; Peneda, Marinelle; Ferguson, Thomas; Zoladz, Thomas

2011-01-01

Sub-scale water tests were undertaken to assess the viability of utilizing high resolution, high frame-rate digital video recordings of a liquid rocket engine turbopump axial inducer to characterize cavitation instabilities. These high speed video (HSV) images of various cavitation phenomena, including higher order cavitation, rotating cavitation, alternating blade cavitation, and asymmetric cavitation, as well as non-cavitating flows for comparison, were recorded from various orientations through an acrylic tunnel using one and two cameras at digital recording rates ranging from 6,000 to 15,700 frames per second. The physical characteristics of these cavitation forms, including the mechanisms that define the cavitation frequency, were identified. Additionally, these images showed how the cavitation forms changed and transitioned from one type (tip vortex) to another (sheet cavitation) as the inducer boundary conditions (inlet pressures) were changed. Image processing techniques were developed which tracked the formation and collapse of cavitating fluid in a specified target area, both in the temporal and frequency domains, in order to characterize the cavitation instability frequency. The accuracy of the analysis techniques was found to be very dependent on target size for higher order cavitation, but much less so for the other phenomena. Tunnel-mounted piezoelectric, dynamic pressure transducers were present throughout these tests and were used as references in correlating the results obtained by image processing. Results showed good agreement between image processing and dynamic pressure spectral data. The test set-up, test program, and test results including H-Q and suction performance, dynamic environment and cavitation characterization, and image processing techniques and results will be discussed.

Effect of a Neonatal Resuscitation Course on Healthcare Providers' Performances Assessed by Video Recording in a Low-Resource Setting.

Science.gov (United States)

Trevisanuto, Daniele; Bertuola, Federica; Lanzoni, Paolo; Cavallin, Francesco; Matediana, Eduardo; Manzungu, Olivier Wingi; Gomez, Ermelinda; Da Dalt, Liviana; Putoto, Giovanni

2015-01-01

We assessed the effect of an adapted neonatal resuscitation program (NRP) course on healthcare providers' performances in a low-resource setting through the use of video recording. A video recorder, mounted to the radiant warmers in the delivery rooms at Beira Central Hospital, Mozambique, was used to record all resuscitations. One-hundred resuscitations (50 before and 50 after participation in an adapted NRP course) were collected and assessed based on a previously published score. All 100 neonates received initial steps; from these, 77 and 32 needed bag-mask ventilation (BMV) and chest compressions (CC), respectively. There was a significant improvement in resuscitation scores in all levels of resuscitation from before to after the course: for "initial steps", the score increased from 33% (IQR 28-39) to 44% (IQR 39-56), pproviders improved after participation in an adapted NRP course. Video recording was well-accepted by the staff, useful for objective assessment of performance during resuscitation, and can be used as an educational tool in a low-resource setting.

Automatic Association of Chats and Video Tracks for Activity Learning and Recognition in Aerial Video Surveillance

Directory of Open Access Journals (Sweden)

Riad I. Hammoud

2014-10-01

Full Text Available We describe two advanced video analysis techniques, including video-indexed by voice annotations (VIVA and multi-media indexing and explorer (MINER. VIVA utilizes analyst call-outs (ACOs in the form of chat messages (voice-to-text to associate labels with video target tracks, to designate spatial-temporal activity boundaries and to augment video tracking in challenging scenarios. Challenging scenarios include low-resolution sensors, moving targets and target trajectories obscured by natural and man-made clutter. MINER includes: (1 a fusion of graphical track and text data using probabilistic methods; (2 an activity pattern learning framework to support querying an index of activities of interest (AOIs and targets of interest (TOIs by movement type and geolocation; and (3 a user interface to support streaming multi-intelligence data processing. We also present an activity pattern learning framework that uses the multi-source associated data as training to index a large archive of full-motion videos (FMV. VIVA and MINER examples are demonstrated for wide aerial/overhead imagery over common data sets affording an improvement in tracking from video data alone, leading to 84% detection with modest misdetection/false alarm results due to the complexity of the scenario. The novel use of ACOs and chat Sensors 2014, 14 19844 messages in video tracking paves the way for user interaction, correction and preparation of situation awareness reports.

Automatic association of chats and video tracks for activity learning and recognition in aerial video surveillance.

Science.gov (United States)

Hammoud, Riad I; Sahin, Cem S; Blasch, Erik P; Rhodes, Bradley J; Wang, Tao

2014-10-22

We describe two advanced video analysis techniques, including video-indexed by voice annotations (VIVA) and multi-media indexing and explorer (MINER). VIVA utilizes analyst call-outs (ACOs) in the form of chat messages (voice-to-text) to associate labels with video target tracks, to designate spatial-temporal activity boundaries and to augment video tracking in challenging scenarios. Challenging scenarios include low-resolution sensors, moving targets and target trajectories obscured by natural and man-made clutter. MINER includes: (1) a fusion of graphical track and text data using probabilistic methods; (2) an activity pattern learning framework to support querying an index of activities of interest (AOIs) and targets of interest (TOIs) by movement type and geolocation; and (3) a user interface to support streaming multi-intelligence data processing. We also present an activity pattern learning framework that uses the multi-source associated data as training to index a large archive of full-motion videos (FMV). VIVA and MINER examples are demonstrated for wide aerial/overhead imagery over common data sets affording an improvement in tracking from video data alone, leading to 84% detection with modest misdetection/false alarm results due to the complexity of the scenario. The novel use of ACOs and chat Sensors 2014, 14 19844 messages in video tracking paves the way for user interaction, correction and preparation of situation awareness reports.

Architectural Considerations for Highly Scalable Computing to Support On-demand Video Analytics

Science.gov (United States)

2017-04-19

research were used to implement a distributed on-demand video analytics system that was prototyped for the use of forensics investigators in law...demand video intelligence; intelligent video system ; video analytics platform I. INTRODUCTION Video Analytics systems has been of tremendous interest...enforcement. The system was tested in the wild using video files as well as a commercial Video Management System supporting more than 100 surveillance

MAVIS: Mobile Acquisition and VISualization -\\ud a professional tool for video recording on a mobile platform

OpenAIRE

Watten, Phil; Gilardi, Marco; Holroyd, Patrick; Newbury, Paul

2015-01-01

Professional video recording is a complex process which often requires expensive cameras and large amounts of ancillary equipment.\\ud With the advancement of mobile technologies, cameras on mobile devices have improved to the point where the quality of their output is sometimes comparable to that obtained from a professional video camera and are often used in professional productions.\\ud However, tools that allow professional users to access the information they need to control the technical ...

Neonatal apneic seizure of occipital lobe origin: continuous video-EEG recording.

Science.gov (United States)

Castro Conde, José Ramón; González-Hernández, Tomás; González Barrios, Desiré; González Campo, Candelaria

2012-06-01

We present 2 term newborn infants with apneic seizure originating in the occipital lobe that was diagnosed by video-EEG. One infant had ischemic infarction in the distribution of the posterior cerebral artery, extending to the cingulate gyrus. In the other infant, only transient occipital hyperechogenicity was observed by using neurosonography. In both cases, although the critical EEG discharge was observed at the occipital level, the infants presented no clinical manifestations. In patient 1, the discharge extended to the temporal lobe first, with subtle motor manifestations and tachycardia, then synchronously to both hemispheres (with bradypnea/hypopnea), and the background EEG activity became suppressed, at which point the infant experienced apnea. In patient 2, background EEG activity became suppressed right at the end of the focal discharge, coinciding with the appearance of apnea. In neither case did the clinical description by observers coincide with video-EEG findings. The existence of connections between the posterior limbic cortex and the temporal lobe and midbrain respiratory centers may explain the clinical symptoms recorded in these 2 cases. The novel features reported here include video-EEG capture of apneic seizure, ischemic lesion in the territory of the posterior cerebral artery as the cause of apneic seizure, and the appearance of apnea when the epileptiform ictal discharge extended to other cerebral areas or when EEG activity became suppressed. To date, none of these clinical findings have been previously reported. We believe this pathology may in fact be fairly common, but that video-EEG monitoring is essential for diagnosis.

Point-of-View Recording Devices for Intraoperative Neurosurgical Video Capture

Directory of Open Access Journals (Sweden)

Jose Luis Porras

2016-10-01

Full Text Available AbstractIntroduction: The ability to record and stream neurosurgery is an unprecedented opportunity to further research, medical education, and quality improvement. Here, we appraise the ease of implementation of existing POV devices when capturing and sharing procedures from the neurosurgical operating room, and detail their potential utility in this context.Methods: Our neurosurgical team tested and critically evaluated features of the Google Glass and Panasonic HX-A500 cameras including ergonomics, media quality, and media sharing in both the operating theater and the angiography suite.Results: Existing devices boast several features that facilitate live recording and streaming of neurosurgical procedures. Given that their primary application is not intended for the surgical environment, we identified a number of concrete, yet improvable, limitations.Conclusion: The present study suggests that neurosurgical video capture and live streaming represents an opportunity to contribute to research, education, and quality improvement. Despite this promise, shortcomings render existing devices impractical for serious consideration. We describe the features that future recording platforms should possess to improve upon existing technology.

Secure surveillance videotapes

International Nuclear Information System (INIS)

Resnik, W.M.; Kadner, S.P.; Olsen, R.; Chitumbo, K.; Pepper, S.

1995-01-01

With assistance from the US Program for Technical Assistance to IAEA Safeguards (POTAS), Aquila Technologies Group developed the Tamper-Resistant Analog Media (TRAM-1000) system to provide standard VHS surveillance video tapes with an enhanced tamper-indicating capability. This project represents further implementation of the partnership approach in facilities including light water reactors with MOX facilities. These facilities use Uniplex Digiquad system video tapes. The partnership approach ensures that one organization can exchange the tapes in a machine without the presence of the other, without losing continuity of information. The TRAM-1000 system development project was accomplished in two stages. In the first stage of the project, the original system delivered to the IAEA, consists of three parts: (1) the tamper detection unit, (2) a specially augmented VHS video tape, and (3) an HP-95 reader. The tamper detection unit houses a VACOSS active fiber-optic seal and an electronic identification tag (E-TAG) reader. In the second stage of the project, the original TRAM-1000 was modified to its current design based on agency input. After delivery of the original TRAM-1000 system to the IAEA, it was reviewed by inspectors. The inspectors felt that the initial system's tape storage/transport method could be simplified. Rather than threading the fiber through the tape spindles, the inspectors suggested that the tape be placed in a bag capable of being sealed. Also, a more flexible fiber-optic cable was recommended. As a result of these suggestions, Aquila developed a tamper-proof bag specifically for holding a surveillance video tape and sealable with a VACOSS fiber optical seal

Nesting behavior of Palila, as assessed from video recordings

Science.gov (United States)

Laut, M.E.; Banko, P.C.; Gray, E.M.

2003-01-01

We quantified nesting behavior of Palila (Loxiodes bailleui), an endangered Hawaiian honeycreeper, by recording at nests during three breeding seasons using a black-and-white video camera connected to a Videocassette recorder. A total of seven nests was observed. We measured the following factors for daylight hours: percentage of time the female was on the nest (attendance), length of attendance bouts by the female, length of nest recesses, and adult provisioning rates. Comparisons were made between three stages of the 40-day nesting cycle: incubation (day 1-day 16), early nestling stage (day 17-day 30 [i.e., nestlings ??? 14 days old]), and late nestling stage (day 31-day 40 [i.e., nestlings > 14 days old]). Of seven nests observed, four fledged at least one nestling and three failed. One of these failed nests was filmed being depredated by a feral cat (Felis catus). Female nest attendance was near 82% during the incubation stage and decreased to 21% as nestlings aged. We did not detect a difference in attendance bout length between stages of the nesting cycle. Mean length of nest recesses increased from 4.5 min during the incubation stage to over 45 min during the late nestling stage. Mean number of nest recesses per hour ranged from 1.6 to 2.0. Food was delivered to nestlings by adults an average of 1.8 times per hour for the early nestling stage and 1.5 times per hour during the late nestling stage and did not change over time. Characterization of parental behavior by video had similarities to but also key differences from findings taken from blind observations. Results from this study will facilitate greater understanding of Palila reproductive strategies.

Innovative Solution to Video Enhancement

Science.gov (United States)

2001-01-01

Through a licensing agreement, Intergraph Government Solutions adapted a technology originally developed at NASA's Marshall Space Flight Center for enhanced video imaging by developing its Video Analyst(TM) System. Marshall's scientists developed the Video Image Stabilization and Registration (VISAR) technology to help FBI agents analyze video footage of the deadly 1996 Olympic Summer Games bombing in Atlanta, Georgia. VISAR technology enhanced nighttime videotapes made with hand-held camcorders, revealing important details about the explosion. Intergraph's Video Analyst System is a simple, effective, and affordable tool for video enhancement and analysis. The benefits associated with the Video Analyst System include support of full-resolution digital video, frame-by-frame analysis, and the ability to store analog video in digital format. Up to 12 hours of digital video can be stored and maintained for reliable footage analysis. The system also includes state-of-the-art features such as stabilization, image enhancement, and convolution to help improve the visibility of subjects in the video without altering underlying footage. Adaptable to many uses, Intergraph#s Video Analyst System meets the stringent demands of the law enforcement industry in the areas of surveillance, crime scene footage, sting operations, and dash-mounted video cameras.

Mosquito (Diptera: Culicidae) Habitat Surveillance by Android Mobile Devices in Guangzhou, China.

Science.gov (United States)

Wu, Tai-Ping; Tian, Jun-Hua; Xue, Rui-De; Fang, Yi-Liang; Zheng, Ai-Hua

2016-12-17

In 2014, Guangzhou City, South China, suffered from its worst outbreak of dengue fever in decades. Larval mosquito habitat surveillance was carried out by using android mobile devices in four study sites in May 2015. The habitats with larval mosquitoes were recorded as photo waypoints in OruxMaps or in videos. The total number of potential mosquito habitats was 342, of which 166 (49%) were found to have mosquito larvae or pupae. Small containers were the most abundant potential habitats, accounting for 26% of the total number. More mosquito larvae and pupae, were found in small containers than in other objects holding water, for example, potted or hydroponic plants ( p Android mobile devices are a convenient and useful tool for surveillance of mosquito habitats, and the enhancement of source reduction may benefit the prevention and control of dengue vector mosquitoes.

Video event data recording of a taxi driver used for diagnosis of epilepsy

Directory of Open Access Journals (Sweden)

Kotaro Sakurai

2014-01-01

Full Text Available A video event data recorder (VEDR in a motor vehicle records images before and after a traffic accident. This report describes a taxi driver whose seizures were recorded by VEDR, which was extremely useful for the diagnosis of epilepsy. The patient was a 63-year-old right-handed Japanese male taxi driver. He collided with a streetlight. Two years prior to this incident, he raced an engine for a long time while parked. The VEDR enabled confirmation that the accidents depended on an epileptic seizure and he was diagnosed with symptomatic localization-related epilepsy. The VEDR is useful not only for traffic accident evidence; it might also contribute to a driver's health care and road safety.

Quantification of Urine Elimination Behaviors in Cats with a Video Recording System

OpenAIRE

R. Dulaney, D.; Hopfensperger, M.; Malinowski, R.; Hauptman, J.; Kruger, J.M.

2017-01-01

Background Urinary disorders in cats often require subjective caregiver quantification of clinical signs to establish a diagnosis and monitor therapeutic outcomes. Objective To investigate use of a video recording system (VRS) to better assess and quantify urination behaviors in cats. Animals Eleven healthy cats and 8 cats with disorders potentially associated with abnormal urination patterns. Methods Prospective study design. Litter box urination behaviors were quantified with a VRS for 14 d...

An introduction to video image compression and authentication technology for safeguards applications

International Nuclear Information System (INIS)

Johnson, C.S.

1995-01-01

Verification of a video image has been a major problem for safeguards for several years. Various verification schemes have been tried on analog video signals ever since the mid-1970's. These schemes have provided a measure of protection but have never been widely adopted. The development of reasonably priced complex video processing integrated circuits makes it possible to digitize a video image and then compress the resulting digital file into a smaller file without noticeable loss of resolution. Authentication and/or encryption algorithms can be more easily applied to digital video files that have been compressed. The compressed video files require less time for algorithm processing and image transmission. An important safeguards application for authenticated, compressed, digital video images is in unattended video surveillance systems and remote monitoring systems. The use of digital images in the surveillance system makes it possible to develop remote monitoring systems that send images over narrow bandwidth channels such as the common telephone line. This paper discusses the video compression process, authentication algorithm, and data format selected to transmit and store the authenticated images

Evaluation of a Surveillance Review Software based on Automatic Image Summaries

International Nuclear Information System (INIS)

Rocchi, S.; Hadfi, G.; John, M.; Moeslinger, M.; Murray, J.; Juengling, K.; Sequeira, V.; Versino, C.; )

2015-01-01

Surveillance streams from safeguards instruments contain thousands of images. Inspectors review them in order to find safeguards-relevant events. Statistically a very small fraction of the images is expected to be safeguards-relevant. For this reason inspectors need a tool which helps them to focus their attention directly to the relevant parts of the surveillance stream. The current approach for surveillance review makes use of scene change detection within areas of interest (AOIs). The data reduction provided can be effective for the review of regular processes, and requires specific knowledge of the process/environment under review for the proper setting of the AOIs. The VideoZoom approach, developed by the European Commission Joint Research Centre-Institute for Transuranium Elements (JRC-ITU), detects scene changes on the whole image plane. Changes are then summarized and rendered at different levels of abstraction in four layers of summaries, each one revealing more information about the image changes. By means of a zooming interface, the reviewer is able to navigate the summary layers and decide which are to be examined with full photographic detail or skipped because they are clearly not safeguards-relevant. In this way reviewers can make best use of their time by investigating what really requires their attention. VideoZoom was evaluated by a group of IAEA inspectors on a benchmark of image reviews, with promising results in terms of identification of safeguards-relevant events, efficiency and usability. Following the positive results collected during the preliminary benchmark, the IAEA initiated a task under the European Commission Support Programme (EC SP), aimed at the research, development, and evaluation of surveillance review software based on VideoZoom and compatible with surveillance streams produced by NGSS cameras, the current safeguards surveillance technology deployed by the IAEA. This paper provides a description of the VideoZoom approach to

Mobile Video in Everyday Social Interactions

Science.gov (United States)

Reponen, Erika; Lehikoinen, Jaakko; Impiö, Jussi

Video recording has become a spontaneous everyday activity for many people, thanks to the video capabilities of modern mobile phones. Internet connectivity of mobile phones enables fluent sharing of captured material even real-time, which makes video an up-and-coming everyday interaction medium. In this article we discuss the effect of the video camera in the social environment, everyday life situations, mainly based on a study where four groups of people used digital video cameras in their normal settings. We also reflect on another study of ours, relating to real-time mobile video communication and discuss future views. The aim of our research is to understand the possibilities in the domain of mobile video. Live and delayed sharing seem to have their special characteristics, live video being used as a virtual window between places whereas delayed video usage has more scope for good-quality content. While this novel way of interacting via mobile video enables new social patterns, it also raises new concerns for privacy and trust between participating persons in all roles, largely due to the widely spreading possibilities of videos. Video in a social situation affects cameramen (who record), targets (who are recorded), passers-by (who are unintentionally in the situation), and the audience (who follow the videos or recording situations) but also the other way around, the participants affect the video by their varying and evolving personal and communicational motivations for recording.

Using death certificates and medical examiner records for adolescent occupational fatality surveillance and research: a case study.

Science.gov (United States)

Rauscher, Kimberly J; Runyan, Carol W; Radisch, Deborah

2012-01-01

Death certificates and medical examiner records have been useful yet imperfect data sources for work-related fatality research and surveillance among adult workers. It is unclear whether this holds for work-related fatalities among adolescent workers who suffer unique detection challenges in part because they are not often thought of as workers. This study investigated the utility of using these data sources for surveillance and research pertaining to adolescent work-related fatalities. Using the state of North Carolina as a case study, we analyzed data from the death certificates and medical examiner records of all work-related fatalities data among 11- to 17-year-olds between 1990-2008 (N = 31). We compared data sources on case identification, of completeness, and consistency information. Variables examined included those on the injury (e.g., means), occurrence (e.g., place), demographics, and employment (e.g., occupation). Medical examiner records (90%) were more likely than death certificates (71%) to identify adolescent work-related fatalities. Data completeness was generally high yet varied between sources. The most marked difference being that in medical examiner records, type of business/industry and occupation were complete in 72 and 67% of cases, respectively, while on the death certificates these fields were complete in 90 and 97% of cases, respectively. Taking the two sources together, each field was complete in upward of 94% of cases. Although completeness was high, data were not always of good quality and sometimes conflicted across sources. In many cases, the decedent's occupation was misclassified as "student" and their employer as "school" on the death certificate. Even though each source has its weaknesses, medical examiner records and death certificates, especially when used together, can be useful for conducting surveillance and research on adolescent work-related fatalities. However, extra care is needed by data recorders to ensure that

Video-EEG recording: a four-year clinical audit.

LENUS (Irish Health Repository)

O'Rourke, K

2012-02-03

In the setting of a regional neurological unit without an epilepsy surgery service as in our case, video-EEG telemetry is undertaken for three main reasons; to investigate whether frequent paroxysmal events represent seizures when there is clinical doubt, to attempt anatomical localization of partial seizures when standard EEG is unhelpful, and to attempt to confirm that seizures are non-epileptic when this is suspected. A clinical audit of all telemetry performed over a four-year period was carried out, in order to determine the clinical utility of this aspect of the service and to determine means of improving effectiveness in the unit. Analysis of the data showed a high rate of negative studies with no attacks recorded. Of the positive studies approximately 50% showed non-epileptic attacks. Strategies for improving the rate of positive investigations are discussed.

Camera Control and Geo-Registration for Video Sensor Networks

Science.gov (United States)

Davis, James W.

With the use of large video networks, there is a need to coordinate and interpret the video imagery for decision support systems with the goal of reducing the cognitive and perceptual overload of human operators. We present computer vision strategies that enable efficient control and management of cameras to effectively monitor wide-coverage areas, and examine the framework within an actual multi-camera outdoor urban video surveillance network. First, we construct a robust and precise camera control model for commercial pan-tilt-zoom (PTZ) video cameras. In addition to providing a complete functional control mapping for PTZ repositioning, the model can be used to generate wide-view spherical panoramic viewspaces for the cameras. Using the individual camera control models, we next individually map the spherical panoramic viewspace of each camera to a large aerial orthophotograph of the scene. The result provides a unified geo-referenced map representation to permit automatic (and manual) video control and exploitation of cameras in a coordinated manner. The combined framework provides new capabilities for video sensor networks that are of significance and benefit to the broad surveillance/security community.

广乐高速公路施工视频监控系统的设计与实现%Design and Utilization of Video Surveillance System for Project Construction in Guangle Freeway

Institute of Scientific and Technical Information of China (English)

李前程

2012-01-01

The means of building up video surveillance system for project construction is described in this paper in terms of network structure, surveillance technique choice, system software etc. , which makes large-scale sur- veillance network of video surveillance system applied for both project managing company and site points. In ac- tual application, it solves the problems such as web transferring, compatible and open camera system.%从网络架构、监控技术的选用以及系统软件设计等方面介绍了如何搭建工程建设项目施工视频监控平台,实现了视频监控系统在项目管理公司及分散的监控点大规模网络化应用,而在实际应用中,有效解决网络传输和摄像机的兼容性、开放性等问题。

SHIP CLASSIFICATION FROM MULTISPECTRAL VIDEOS

Directory of Open Access Journals (Sweden)

Frederique Robert-Inacio

2012-05-01

Full Text Available Surveillance of a seaport can be achieved by different means: radar, sonar, cameras, radio communications and so on. Such a surveillance aims, on the one hand, to manage cargo and tanker traffic, and, on the other hand, to prevent terrorist attacks in sensitive areas. In this paper an application to video-surveillance of a seaport entrance is presented, and more particularly, the different steps enabling to classify mobile shapes. This classification is based on a parameter measuring the similarity degree between the shape under study and a set of reference shapes. The classification result describes the considered mobile in terms of shape and speed.

Opportunities for Enhanced Strategic Use of Surveys, Medical Records, and Program Data for HIV Surveillance of Key Populations: Scoping Review

Science.gov (United States)

Baral, Stefan D; Edwards, Jessie K; Zadrozny, Sabrina; Hargreaves, James; Zhao, Jinkou; Sabin, Keith

2018-01-01

Background Normative guidelines from the World Health Organization recommend tracking strategic information indicators among key populations. Monitoring progress in the global response to the HIV epidemic uses indicators put forward by the Joint United Nations Programme on HIV/AIDS. These include the 90-90-90 targets that require a realignment of surveillance data, routinely collected program data, and medical record data, which historically have developed separately. Objective The aim of this study was to describe current challenges for monitoring HIV-related strategic information indicators among key populations ((men who have sex with men [MSM], people in prisons and other closed settings, people who inject drugs, sex workers, and transgender people) and identify future opportunities to enhance the use of surveillance data, programmatic data, and medical record data to describe the HIV epidemic among key populations and measure the coverage of HIV prevention, care, and treatment programs. Methods To provide a historical perspective, we completed a scoping review of the expansion of HIV surveillance among key populations over the past three decades. To describe current efforts, we conducted a review of the literature to identify published examples of SI indicator estimates among key populations. To describe anticipated challenges and future opportunities to improve measurement of strategic information indicators, particularly from routine program and health data, we consulted participants of the Third Global HIV Surveillance Meeting in Bangkok, where the 2015 World Health Organization strategic information guidelines were launched. Results There remains suboptimal alignment of surveillance and programmatic data, as well as routinely collected medical records to facilitate the reporting of the 90-90-90 indicators for HIV among key populations. Studies (n=3) with estimates of all three 90-90-90 indicators rely on cross-sectional survey data. Programmatic data and

Accuracy and Efficiency of Recording Pediatric Early Warning Scores Using an Electronic Physiological Surveillance System Compared With Traditional Paper-Based Documentation.

Science.gov (United States)

Sefton, Gerri; Lane, Steven; Killen, Roger; Black, Stuart; Lyon, Max; Ampah, Pearl; Sproule, Cathryn; Loren-Gosling, Dominic; Richards, Caitlin; Spinty, Jean; Holloway, Colette; Davies, Coral; Wilson, April; Chean, Chung Shen; Carter, Bernie; Carrol, E D

2017-05-01

Pediatric Early Warning Scores are advocated to assist health professionals to identify early signs of serious illness or deterioration in hospitalized children. Scores are derived from the weighting applied to recorded vital signs and clinical observations reflecting deviation from a predetermined "norm." Higher aggregate scores trigger an escalation in care aimed at preventing critical deterioration. Process errors made while recording these data, including plotting or calculation errors, have the potential to impede the reliability of the score. To test this hypothesis, we conducted a controlled study of documentation using five clinical vignettes. We measured the accuracy of vital sign recording, score calculation, and time taken to complete documentation using a handheld electronic physiological surveillance system, VitalPAC Pediatric, compared with traditional paper-based charts. We explored the user acceptability of both methods using a Web-based survey. Twenty-three staff participated in the controlled study. The electronic physiological surveillance system improved the accuracy of vital sign recording, 98.5% versus 85.6%, P < .02, Pediatric Early Warning Score calculation, 94.6% versus 55.7%, P < .02, and saved time, 68 versus 98 seconds, compared with paper-based documentation, P < .002. Twenty-nine staff completed the Web-based survey. They perceived that the electronic physiological surveillance system offered safety benefits by reducing human error while providing instant visibility of recorded data to the entire clinical team.

Distributed source coding of video

DEFF Research Database (Denmark)

Forchhammer, Søren; Van Luong, Huynh

2015-01-01

A foundation for distributed source coding was established in the classic papers of Slepian-Wolf (SW) [1] and Wyner-Ziv (WZ) [2]. This has provided a starting point for work on Distributed Video Coding (DVC), which exploits the source statistics at the decoder side offering shifting processing...... steps, conventionally performed at the video encoder side, to the decoder side. Emerging applications such as wireless visual sensor networks and wireless video surveillance all require lightweight video encoding with high coding efficiency and error-resilience. The video data of DVC schemes differ from...... the assumptions of SW and WZ distributed coding, e.g. by being correlated in time and nonstationary. Improving the efficiency of DVC coding is challenging. This paper presents some selected techniques to address the DVC challenges. Focus is put on pin-pointing how the decoder steps are modified to provide...

Ubiquitous UAVs: a cloud based framework for storing, accessing and processing huge amount of video footage in an efficient way

Science.gov (United States)

Efstathiou, Nectarios; Skitsas, Michael; Psaroudakis, Chrysostomos; Koutras, Nikolaos

2017-09-01

Nowadays, video surveillance cameras are used for the protection and monitoring of a huge number of facilities worldwide. An important element in such surveillance systems is the use of aerial video streams originating from onboard sensors located on Unmanned Aerial Vehicles (UAVs). Video surveillance using UAVs represent a vast amount of video to be transmitted, stored, analyzed and visualized in a real-time way. As a result, the introduction and development of systems able to handle huge amount of data become a necessity. In this paper, a new approach for the collection, transmission and storage of aerial videos and metadata is introduced. The objective of this work is twofold. First, the integration of the appropriate equipment in order to capture and transmit real-time video including metadata (i.e. position coordinates, target) from the UAV to the ground and, second, the utilization of the ADITESS Versatile Media Content Management System (VMCMS-GE) for storing of the video stream and the appropriate metadata. Beyond the storage, VMCMS-GE provides other efficient management capabilities such as searching and processing of videos, along with video transcoding. For the evaluation and demonstration of the proposed framework we execute a use case where the surveillance of critical infrastructure and the detection of suspicious activities is performed. Collected video Transcodingis subject of this evaluation as well.

A new omni-directional multi-camera system for high resolution surveillance

Science.gov (United States)

Cogal, Omer; Akin, Abdulkadir; Seyid, Kerem; Popovic, Vladan; Schmid, Alexandre; Ott, Beat; Wellig, Peter; Leblebici, Yusuf

2014-05-01

Omni-directional high resolution surveillance has a wide application range in defense and security fields. Early systems used for this purpose are based on parabolic mirror or fisheye lens where distortion due to the nature of the optical elements cannot be avoided. Moreover, in such systems, the image resolution is limited to a single image sensor's image resolution. Recently, the Panoptic camera approach that mimics the eyes of flying insects using multiple imagers has been presented. This approach features a novel solution for constructing a spherically arranged wide FOV plenoptic imaging system where the omni-directional image quality is limited by low-end sensors. In this paper, an overview of current Panoptic camera designs is provided. New results for a very-high resolution visible spectrum imaging and recording system inspired from the Panoptic approach are presented. The GigaEye-1 system, with 44 single cameras and 22 FPGAs, is capable of recording omni-directional video in a 360°×100° FOV at 9.5 fps with a resolution over (17,700×4,650) pixels (82.3MP). Real-time video capturing capability is also verified at 30 fps for a resolution over (9,000×2,400) pixels (21.6MP). The next generation system with significantly higher resolution and real-time processing capacity, called GigaEye-2, is currently under development. The important capacity of GigaEye-1 opens the door to various post-processing techniques in surveillance domain such as large perimeter object tracking, very-high resolution depth map estimation and high dynamicrange imaging which are beyond standard stitching and panorama generation methods.

Human recognition in a video network

Science.gov (United States)

Bhanu, Bir

2009-10-01

Video networks is an emerging interdisciplinary field with significant and exciting scientific and technological challenges. It has great promise in solving many real-world problems and enabling a broad range of applications, including smart homes, video surveillance, environment and traffic monitoring, elderly care, intelligent environments, and entertainment in public and private spaces. This paper provides an overview of the design of a wireless video network as an experimental environment, camera selection, hand-off and control, anomaly detection. It addresses challenging questions for individual identification using gait and face at a distance and present new techniques and their comparison for robust identification.

Developing an Interface to Order and Document Health Education Videos in the Electronic Health Record.

Science.gov (United States)

Wojcik, Lauren

2015-01-01

Transitioning to electronic health records (EHRs) provides an opportunity for health care systems to integrate educational content available on interactive patient systems (IPS) with the medical documentation system. This column discusses how one hospital simplified providers' workflow by making it easier to order educational videos and ensure that completed education is documented within the medical record. Integrating the EHR and IPS streamlined the provision of patient education, improved documentation, and supported the organization in meeting core requirements for Meaningful Use.

Coding the Complexity of Activity in Video Recordings

DEFF Research Database (Denmark)

Harter, Christopher Daniel; Otrel-Cass, Kathrin

2017-01-01

This paper presents a theoretical approach to coding and analyzing video data on human interaction and activity, using principles found in cultural historical activity theory. The systematic classification or coding of information contained in video data on activity can be arduous and time...... Bødker’s in 1996, three possible areas of expansion to Susanne Bødker’s method for analyzing video data were found. Firstly, a technological expansion due to contemporary developments in sophisticated analysis software, since the mid 1990’s. Secondly, a conceptual expansion, where the applicability...... of using Activity Theory outside of the context of human–computer interaction, is assessed. Lastly, a temporal expansion, by facilitating an organized method for tracking the development of activities over time, within the coding and analysis of video data. To expand on the above areas, a prototype coding...

Inappropriate colonoscopic surveillance of hyperplastic polyps.

LENUS (Irish Health Repository)

Keane, R A

2011-11-15

Colonoscopic surveillance of hyperplastic polyps alone is controversial and may be inappropriate. The colonoscopy surveillance register at a university teaching hospital was audited to determine the extent of such hyperplastic polyp surveillance. The surveillance endoscopy records were reviewed, those patients with hyperplastic polyps were identified, their clinical records were examined and contact was made with each patient. Of the 483 patients undergoing surveillance for colonic polyps 113 (23%) had hyperplastic polyps alone on last colonoscopy. 104 patients remained after exclusion of those under appropriate surveillance. 87 of the 104 patients (84%) were successfully contacted. 37 patients (8%) were under appropriate colonoscopic surveillance for a significant family history of colorectal carcinoma. 50 (10%) patients with hyperplastic polyps alone and no other clinical indication for colonoscopic surveillance were booked for follow up colonoscopy. This represents not only a budgetary but more importantly a clinical opportunity cost the removal of which could liberate valuable colonoscopy time for more appropriate indications.

Shadow Detection Based on Regions of Light Sources for Object Extraction in Nighttime Video

Directory of Open Access Journals (Sweden)

Gil-beom Lee

2017-03-01

Full Text Available Intelligent video surveillance systems detect pre-configured surveillance events through background modeling, foreground and object extraction, object tracking, and event detection. Shadow regions inside video frames sometimes appear as foreground objects, interfere with ensuing processes, and finally degrade the event detection performance of the systems. Conventional studies have mostly used intensity, color, texture, and geometric information to perform shadow detection in daytime video, but these methods lack the capability of removing shadows in nighttime video. In this paper, a novel shadow detection algorithm for nighttime video is proposed; this algorithm partitions each foreground object based on the object’s vertical histogram and screens out shadow objects by validating their orientations heading toward regions of light sources. From the experimental results, it can be seen that the proposed algorithm shows more than 93.8% shadow removal and 89.9% object extraction rates for nighttime video sequences, and the algorithm outperforms conventional shadow removal algorithms designed for daytime videos.

Load Scheduling in a Cloud Based Massive Video-Storage Environment

DEFF Research Database (Denmark)

Bayyapu, Karunakar Reddy; Fischer, Paul

2015-01-01

We propose an architecture for a storage system of surveillance videos. Such systems have to handle massive amounts of incoming video streams and relatively few requests for replay. In such a system load (i.e., Write requests) scheduling is essential to guarantee performance. Large-scale data-sto...

Performance evaluation software moving object detection and tracking in videos

CERN Document Server

Karasulu, Bahadir

2013-01-01

Performance Evaluation Software: Moving Object Detection and Tracking in Videos introduces a software approach for the real-time evaluation and performance comparison of the methods specializing in moving object detection and/or tracking (D&T) in video processing. Digital video content analysis is an important item for multimedia content-based indexing (MCBI), content-based video retrieval (CBVR) and visual surveillance systems. There are some frequently-used generic algorithms for video object D&T in the literature, such as Background Subtraction (BS), Continuously Adaptive Mean-shift (CMS),

Methods and Algorithms for Detecting Objects in Video Files

Directory of Open Access Journals (Sweden)

Nguyen The Cuong

2018-01-01

Full Text Available Video files are files that store motion pictures and sounds like in real life. In today's world, the need for automated processing of information in video files is increasing. Automated processing of information has a wide range of application including office/home surveillance cameras, traffic control, sports applications, remote object detection, and others. In particular, detection and tracking of object movement in video file plays an important role. This article describes the methods of detecting objects in video files. Today, this problem in the field of computer vision is being studied worldwide.

Spatio-temporal Background Models for Outdoor Surveillance

Directory of Open Access Journals (Sweden)

Pless Robert

2005-01-01

Full Text Available Video surveillance in outdoor areas is hampered by consistent background motion which defeats systems that use motion to identify intruders. While algorithms exist for masking out regions with motion, a better approach is to develop a statistical model of the typical dynamic video appearance. This allows the detection of potential intruders even in front of trees and grass waving in the wind, waves across a lake, or cars moving past. In this paper we present a general framework for the identification of anomalies in video, and a comparison of statistical models that characterize the local video dynamics at each pixel neighborhood. A real-time implementation of these algorithms runs on an 800 MHz laptop, and we present qualitative results in many application domains.

Efficient large-scale graph data optimization for intelligent video surveillance

Science.gov (United States)

Shang, Quanhong; Zhang, Shujun; Wang, Yanbo; Sun, Chen; Wang, Zepeng; Zhang, Luming

2017-08-01

Society is rapidly accepting the use of a wide variety of cameras Location and applications: site traffic monitoring, parking Lot surveillance, car and smart space. These ones here the camera provides data every day in an analysis Effective way. Recent advances in sensor technology Manufacturing, communications and computing are stimulating.The development of new applications that can change the traditional Vision system incorporating universal smart camera network. This Analysis of visual cues in multi camera networks makes wide Applications ranging from smart home and office automation to large area surveillance and traffic surveillance. In addition, dense Camera networks, most of which have large overlapping areas of cameras. In the view of good research, we focus on sparse camera networks. One Sparse camera network using large area surveillance. As few cameras as possible, most cameras do not overlap Each other’s field of vision. This task is challenging Lack of knowledge of topology Network, the specific changes in appearance and movement Track different opinions of the target, as well as difficulties Understanding complex events in a network. In this review in this paper, we present a comprehensive survey of recent studies Results to solve the problem of topology learning, Object appearance modeling and global activity understanding sparse camera network. In addition, some of the current open Research issues are discussed.

Multimodal surveillance sensors, algorithms, and systems

CERN Document Server

Zhu, Zhigang

2007-01-01

From front-end sensors to systems and environmental issues, this practical resource guides you through the many facets of multimodal surveillance. The book examines thermal, vibration, video, and audio sensors in a broad context of civilian and military applications. This cutting-edge volume provides an in-depth treatment of data fusion algorithms that takes you to the core of multimodal surveillance, biometrics, and sentient computing. The book discusses such people and activity topics as tracking people and vehicles and identifying individuals by their speech.Systems designers benefit from d

Video Game Preservation in the UK: A Survey of Records Management Practices

Directory of Open Access Journals (Sweden)

Alasdair Bachell

2014-10-01

Full Text Available Video games are a cultural phenomenon; a medium like no other that has become one of the largest entertainment sectors in the world. While the UK boasts an enviable games development heritage, it risks losing a major part of its cultural output through an inability to preserve the games that are created by the country’s independent games developers. The issues go deeper than bit rot and other problems that affect all digital media; loss of context, copyright and legal issues, and the throwaway culture of the ‘next’ game all hinder the ability of fans and academics to preserve video games and make them accessible in the future. This study looked at the current attitudes towards preservation in the UK’s independent (‘indie’ video games industry by examining current record-keeping practices and analysing the views of games developers. The results show that there is an interest in preserving games, and possibly a desire to do so, but issues of piracy and cost prevent the industry from undertaking preservation work internally, and from allowing others to assume such responsibility. The recommendation made by this paper is not simply for preservation professionals and enthusiasts to collaborate with the industry, but to do so by advocating the commercial benefits that preservation may offer to the industry.

VIDEO SURVEILLANCE: STANDPOINT OF THE EU AND NATIONAL LEGISLATION ON DATA PROTECTION

Directory of Open Access Journals (Sweden)

Claudia CLIZA

2018-05-01

Full Text Available Regulation (EU 2016/679 of the European Parliament and of the Council of April 27th, 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data and repealing Directive 95/46/EC (“GDPR” entails a series of major changes in the field personal data protection. The new developments mainly concern the introduction of data protection controller, of specific rights of data subject, such as: the right to be forgotten and the right to data portability, as well as special provisions on minors. Notwithstanding, certain items seem at first sight to be left untreated by G.D.P.R., which is not true! GDPR applies to all data processing operations, even if not all of these are expressly regulated. One of these personal data modalities is represented by the video surveillance. Despite not expressly regulated by G.DP.R., this is one of the most commonly used means of personal data processing. The particular importance of this subject is given by the potential issues that may occur when the captured images clearly disclose the identity of a person, so that they lead to the unique identification of the data subject. In this case, the issue that arises is whether the processed data would somehow fall under the scope of special data, such as biometric data.

Using Deep Learning Algorithm to Enhance Image-review Software for Surveillance Cameras

Energy Technology Data Exchange (ETDEWEB)

Cui, Yonggang

2018-05-07

We propose the development of proven deep learning algorithms to flag objects and events of interest in Next Generation Surveillance System (NGSS) surveillance to make IAEA image review more efficient. Video surveillance is one of the core monitoring technologies used by the IAEA Department of Safeguards when implementing safeguards at nuclear facilities worldwide. The current image review software GARS has limited automated functions, such as scene-change detection, black image detection and missing scene analysis, but struggles with highly cluttered backgrounds. A cutting-edge algorithm to be developed in this project will enable efficient and effective searches in images and video streams by identifying and tracking safeguards relevant objects and detect anomalies in their vicinity. In this project, we will develop the algorithm, test it with the IAEA surveillance cameras and data sets collected at simulated nuclear facilities at BNL and SNL, and implement it in a software program for potential integration into the IAEA’s IRAP (Integrated Review and Analysis Program).

Final report : mobile surveillance and wireless communication systems field operational test. Volume 1, Executive summary

Science.gov (United States)

1999-03-01

This study focused on assessing the application of traffic monitoring and management systems which use transportable surveillance and ramp meter trailers, video image processors, and wireless communications. The mobile surveillance and wireless commu...

Hierarchical Context Modeling for Video Event Recognition.

Science.gov (United States)

Wang, Xiaoyang; Ji, Qiang

2016-10-11

Current video event recognition research remains largely target-centered. For real-world surveillance videos, targetcentered event recognition faces great challenges due to large intra-class target variation, limited image resolution, and poor detection and tracking results. To mitigate these challenges, we introduced a context-augmented video event recognition approach. Specifically, we explicitly capture different types of contexts from three levels including image level, semantic level, and prior level. At the image level, we introduce two types of contextual features including the appearance context features and interaction context features to capture the appearance of context objects and their interactions with the target objects. At the semantic level, we propose a deep model based on deep Boltzmann machine to learn event object representations and their interactions. At the prior level, we utilize two types of prior-level contexts including scene priming and dynamic cueing. Finally, we introduce a hierarchical context model that systematically integrates the contextual information at different levels. Through the hierarchical context model, contexts at different levels jointly contribute to the event recognition. We evaluate the hierarchical context model for event recognition on benchmark surveillance video datasets. Results show that incorporating contexts in each level can improve event recognition performance, and jointly integrating three levels of contexts through our hierarchical model achieves the best performance.

Semantic attributes for people's appearance description: an appearance modality for video surveillance applications

Science.gov (United States)

Frikha, Mayssa; Fendri, Emna; Hammami, Mohamed

2017-09-01

Using semantic attributes such as gender, clothes, and accessories to describe people's appearance is an appealing modeling method for video surveillance applications. We proposed a midlevel appearance signature based on extracting a list of nameable semantic attributes describing the body in uncontrolled acquisition conditions. Conventional approaches extract the same set of low-level features to learn the semantic classifiers uniformly. Their critical limitation is the inability to capture the dominant visual characteristics for each trait separately. The proposed approach consists of extracting low-level features in an attribute-adaptive way by automatically selecting the most relevant features for each attribute separately. Furthermore, relying on a small training-dataset would easily lead to poor performance due to the large intraclass and interclass variations. We annotated large scale people images collected from different person reidentification benchmarks covering a large attribute sample and reflecting the challenges of uncontrolled acquisition conditions. These annotations were gathered into an appearance semantic attribute dataset that contains 3590 images annotated with 14 attributes. Various experiments prove that carefully designed features for learning the visual characteristics for an attribute provide an improvement of the correct classification accuracy and a reduction of both spatial and temporal complexities against state-of-the-art approaches.

Checking Interceptions and Audio Video Recordings by the Court after Referral

Directory of Open Access Journals (Sweden)

Sandra Grădinaru

2012-05-01

Full Text Available In any event, the prosecutor and the judiciary should pay particular attention to the risk of theirfalsification, which can be achieved by taking only parts of conversations or communications that took place in thepast and are declared to be registered recently, or by removing parts of conversations or communications, or evenby the translation or removal of images. This is why the legislature provided an express provision for theirverification. Provisions of art. 916 Paragraph 1 Criminal Procedure Code offers the possibility of a technicalexpertise regarding the originality and continuity of the records, at the prosecutor's request, the parties or exofficio, where there are doubts about the correctness of the registration in whole or in part, especially if notsupported by all the evidence. Therefore, audio or video recordings serve themselves as evidence in criminalproceedings, if not appealed or confirmed by technical expertise, if there were doubts about their conformity withreality. In the event that there is lack of expertise from the authenticity of records, they will not be accepted asevidence in solving a criminal case, thus eliminating any probative value of the intercepted conversations andcommunications in that case, by applying article 64 Par. 2 Criminal Procedure Code.

C-space : Fostering new creative paradigms based on recording and sharing 'casual' videos through the internet

NARCIS (Netherlands)

Simoes, Bruno; Aksenov, Petr; Santos, Pedro; Arentze, Theo; De Amicis, Raffaele

2015-01-01

A key theme in ubiquitous computing is to create smart environments in which there is seamless integration of people, information, and physical reality. In this manuscript, we describe a set of tools that facilitate the creation of such environments, e,g, a service to transform videos recorded with

Containment and surveillance techniques at power reactors

International Nuclear Information System (INIS)

Stirling, A.J.

1982-01-01

This session will provide participants with an understanding of the functions of safeguards equipment at power reactors, including equipment for fuel accounting, video and film surveillance, diversion monitoring, and containment and surveillance of irradiated fuel in storage. In addition, some appreciation of the impact that reactor safeguards have on the plant operator will be gained. From this, participants will be able to ensure that a reactor safeguards system meets their nation's international and national nonproliferation objectives with a minimum of interference to plant operations

A comprehensive review on intelligent surveillance systems

Directory of Open Access Journals (Sweden)

Sutrisno Warsono Ibrahim

2016-05-01

Full Text Available Intelligent surveillance system (ISS has received growing attention due to the increasing demand on security and safety. ISS is able to automatically analyze image, video, audio or other type of surveillance data without or with limited human intervention. The recent developments in sensor devices, computer vision, and machine learning have an important role in enabling such intelligent system. This paper aims to provide general overview of intelligent surveillance system and discuss some possible sensor modalities and their fusion scenarios such as visible camera (CCTV, infrared camera, thermal camera and radar. This paper also discusses main processing steps in ISS: background-foreground segmentation, object detection and classification, tracking, and behavioral analysis.

Recording and surveillance systems for periodontal diseases

DEFF Research Database (Denmark)

Beltrán-Aguilar, Eugenio D; Eke, Paul I; Thornton-Evans, Gina

2012-01-01

This paper describes tools used to measure periodontal diseases and the integration of these tools into surveillance systems. Tools to measure periodontal diseases at the surveillance level have focussed on current manifestations of disease (e.g. gingival inflammation) or disease sequelae (e.......g. periodontal pocket depth or loss of attachment). All tools reviewed in this paper were developed based on the state of the science of the pathophysiology of periodontal disease at the time of their design and the need to provide valid and reliable measurements of the presence and severity of periodontal...... diseases. Therefore, some of these tools are no longer valid. Others, such as loss of periodontal attachment, are the current de-facto tools but demand many resources to undertake periodical assessment of the periodontal health of populations. Less complex tools such as the Community Periodontal Index...

Hospitalization records as a tool for evaluating performance of food- and water-borne disease surveillance systems: a Massachusetts case study.

Science.gov (United States)

Mor, Siobhan M; DeMaria, Alfred; Naumova, Elena N

2014-01-01

We outline a framework for evaluating food- and water-borne surveillance systems using hospitalization records, and demonstrate the approach using data on salmonellosis, campylobacteriosis and giardiasis in persons aged ≥65 years in Massachusetts. For each infection, and for each reporting jurisdiction, we generated smoothed standardized morbidity ratios (SMR) and surveillance to hospitalization ratios (SHR) by comparing observed surveillance counts with expected values or the number of hospitalized cases, respectively. We examined the spatial distribution of SHR and related this to the mean for the entire state. Through this approach municipalities that deviated from the typical experience were identified and suspected of under-reporting. Regression analysis revealed that SHR was a significant predictor of SMR, after adjusting for population age-structure. This confirms that the spatial "signal" depicted by surveillance is in part influenced by inconsistent testing and reporting practices since municipalities that reported fewer cases relative to the number of hospitalizations had a lower relative risk (as estimated by SMR). Periodic assessment of SHR has potential in assessing the performance of surveillance systems.

Hospitalization records as a tool for evaluating performance of food- and water-borne disease surveillance systems: a Massachusetts case study.

Directory of Open Access Journals (Sweden)

Siobhan M Mor

Full Text Available We outline a framework for evaluating food- and water-borne surveillance systems using hospitalization records, and demonstrate the approach using data on salmonellosis, campylobacteriosis and giardiasis in persons aged ≥65 years in Massachusetts. For each infection, and for each reporting jurisdiction, we generated smoothed standardized morbidity ratios (SMR and surveillance to hospitalization ratios (SHR by comparing observed surveillance counts with expected values or the number of hospitalized cases, respectively. We examined the spatial distribution of SHR and related this to the mean for the entire state. Through this approach municipalities that deviated from the typical experience were identified and suspected of under-reporting. Regression analysis revealed that SHR was a significant predictor of SMR, after adjusting for population age-structure. This confirms that the spatial "signal" depicted by surveillance is in part influenced by inconsistent testing and reporting practices since municipalities that reported fewer cases relative to the number of hospitalizations had a lower relative risk (as estimated by SMR. Periodic assessment of SHR has potential in assessing the performance of surveillance systems.

Video library for video imaging detection at intersection stop lines.

Science.gov (United States)

2010-04-01

The objective of this activity was to record video that could be used for controlled : evaluation of video image vehicle detection system (VIVDS) products and software upgrades to : existing products based on a list of conditions that might be diffic...

Finding and Improving the Key-Frames of Long Video Sequences for Face Recognition

DEFF Research Database (Denmark)

Nasrollahi, Kamal; Moeslund, Thomas B.

2010-01-01

Face recognition systems are very sensitive to the quality and resolution of their input face images. This makes such systems unreliable when working with long surveillance video sequences without employing some selection and enhancement algorithms. On the other hand, processing all the frames...... of such video sequences by any enhancement or even face recognition algorithm is demanding. Thus, there is a need for a mechanism to summarize the input video sequence to a set of key-frames and then applying an enhancement algorithm to this subset. This paper presents a system doing exactly this. The system...... uses face quality assessment to select the key-frames and a hybrid super-resolution to enhance the face image quality. The suggested system that employs a linear associator face recognizer to evaluate the enhanced results has been tested on real surveillance video sequences and the experimental results...

Context-based object-of-interest detection for a generic traffic surveillance analysis system

NARCIS (Netherlands)

Bao, X.; Javanbakhti, S.; Zinger, S.; Wijnhoven, R.G.J.; With, de P.H.N.

2014-01-01

We present a new traffic surveillance video analysis system, focusing on building a framework with robust and generic techniques, based on both scene understanding and moving object-of-interest detection. Since traffic surveillance is widely applied, we want to design a single system that can be

A Survey and Proposed Framework on the Soft Biometrics Technique for Human Identification in Intelligent Video Surveillance System

Directory of Open Access Journals (Sweden)

Min-Gu Kim

2012-01-01

Full Text Available Biometrics verification can be efficiently used for intrusion detection and intruder identification in video surveillance systems. Biometrics techniques can be largely divided into traditional and the so-called soft biometrics. Whereas traditional biometrics deals with physical characteristics such as face features, eye iris, and fingerprints, soft biometrics is concerned with such information as gender, national origin, and height. Traditional biometrics is versatile and highly accurate. But it is very difficult to get traditional biometric data from a distance and without personal cooperation. Soft biometrics, although featuring less accuracy, can be used much more freely though. Recently, many researchers have been made on human identification using soft biometrics data collected from a distance. In this paper, we use both traditional and soft biometrics for human identification and propose a framework for solving such problems as lighting, occlusion, and shadowing.

A Survey and Proposed Framework on the Soft Biometrics Technique for Human Identification in Intelligent Video Surveillance System

Science.gov (United States)

Kim, Min-Gu; Moon, Hae-Min; Chung, Yongwha; Pan, Sung Bum

2012-01-01

Biometrics verification can be efficiently used for intrusion detection and intruder identification in video surveillance systems. Biometrics techniques can be largely divided into traditional and the so-called soft biometrics. Whereas traditional biometrics deals with physical characteristics such as face features, eye iris, and fingerprints, soft biometrics is concerned with such information as gender, national origin, and height. Traditional biometrics is versatile and highly accurate. But it is very difficult to get traditional biometric data from a distance and without personal cooperation. Soft biometrics, although featuring less accuracy, can be used much more freely though. Recently, many researchers have been made on human identification using soft biometrics data collected from a distance. In this paper, we use both traditional and soft biometrics for human identification and propose a framework for solving such problems as lighting, occlusion, and shadowing. PMID:22919273

A survey and proposed framework on the soft biometrics technique for human identification in intelligent video surveillance system.

Science.gov (United States)

Kim, Min-Gu; Moon, Hae-Min; Chung, Yongwha; Pan, Sung Bum

2012-01-01

Biometrics verification can be efficiently used for intrusion detection and intruder identification in video surveillance systems. Biometrics techniques can be largely divided into traditional and the so-called soft biometrics. Whereas traditional biometrics deals with physical characteristics such as face features, eye iris, and fingerprints, soft biometrics is concerned with such information as gender, national origin, and height. Traditional biometrics is versatile and highly accurate. But it is very difficult to get traditional biometric data from a distance and without personal cooperation. Soft biometrics, although featuring less accuracy, can be used much more freely though. Recently, many researchers have been made on human identification using soft biometrics data collected from a distance. In this paper, we use both traditional and soft biometrics for human identification and propose a framework for solving such problems as lighting, occlusion, and shadowing.

Guest Editorial: Analysis and Retrieval of Events/Actions and Workflows in Video Streams

DEFF Research Database (Denmark)

Doulamis, Anastasios; Doulamis, Nikolaos; Bertini, Marco

2016-01-01

.g., thematic parks, critical public infrastructures), crisis management in public service areas (e.g., train stations, airports), security (detection of abnormal behaviors in surveillance videos), semantic characterization, and annotation of video streams in various domains (e.g., broadcast or user...

Automated multi-camera surveillance algorithms and practice : theory and practice

CERN Document Server

Javed, Omar

2008-01-01

The deployment of surveillance systems has captured the interest of both the research and the industrial worlds in recent years. The aim of this effort is to increase security and safety in several application domains such as national security, home and bank safety, traffic monitoring and navigation, tourism, and military applications. The video surveillance systems currently in use share one feature: A human operator must monitor them at all times, thus limiting the number of cameras and the area under surveillance and increasing cost. A more advantageous system would have continuous active w

Protecting personal data in camera surveillance practices

NARCIS (Netherlands)

Dubbeld, L.

2005-01-01

This paper explores in which ways privacy (in particular, data protection principles) comes to the fore in the day-to-day operation of a public video surveillance system. Starting from current European legal perspectives on data protection, and building on an empirical case study, the meanings and

Privacy Sensitive Surveillance for Assisted Living - A Smart Camera Approach

Science.gov (United States)

Fleck, Sven; Straßer, Wolfgang

An elderly woman wanders about aimlessly in a home for assisted living. Suddenly, she collapses on the floor of a lonesome hallway. Usually it can take over two hours until a night nurse passes this spot on her next inspection round. But in this case she is already on site after two minutes, ready to help. She has received an alert message on her beeper: "Inhabitant fallen in hallway 2b". The source: the SmartSurv distributed network of smart cameras for automated and privacy respecting video analysis.Welcome to the future of smart surveillance Although this scenario is not yet daily practice, it shall make clear how such systems will impact the safety of the elderly without the privacy intrusion of traditional video surveillance systems.

Simultaneous recordings of human microsaccades and drifts with a contemporary video eye tracker and the search coil technique.

Directory of Open Access Journals (Sweden)

Michael B McCamy

Full Text Available Human eyes move continuously, even during visual fixation. These "fixational eye movements" (FEMs include microsaccades, intersaccadic drift and oculomotor tremor. Research in human FEMs has grown considerably in the last decade, facilitated by the manufacture of noninvasive, high-resolution/speed video-oculography eye trackers. Due to the small magnitude of FEMs, obtaining reliable data can be challenging, however, and depends critically on the sensitivity and precision of the eye tracking system. Yet, no study has conducted an in-depth comparison of human FEM recordings obtained with the search coil (considered the gold standard for measuring microsaccades and drift and with contemporary, state-of-the art video trackers. Here we measured human microsaccades and drift simultaneously with the search coil and a popular state-of-the-art video tracker. We found that 95% of microsaccades detected with the search coil were also detected with the video tracker, and 95% of microsaccades detected with video tracking were also detected with the search coil, indicating substantial agreement between the two systems. Peak/mean velocities and main sequence slopes of microsaccades detected with video tracking were significantly higher than those of the same microsaccades detected with the search coil, however. Ocular drift was significantly correlated between the two systems, but drift speeds were higher with video tracking than with the search coil. Overall, our combined results suggest that contemporary video tracking now approaches the search coil for measuring FEMs.

PixonVision real-time video processor

Science.gov (United States)

Puetter, R. C.; Hier, R. G.

2007-09-01

PixonImaging LLC and DigiVision, Inc. have developed a real-time video processor, the PixonVision PV-200, based on the patented Pixon method for image deblurring and denoising, and DigiVision's spatially adaptive contrast enhancement processor, the DV1000. The PV-200 can process NTSC and PAL video in real time with a latency of 1 field (1/60 th of a second), remove the effects of aerosol scattering from haze, mist, smoke, and dust, improve spatial resolution by up to 2x, decrease noise by up to 6x, and increase local contrast by up to 8x. A newer version of the processor, the PV-300, is now in prototype form and can handle high definition video. Both the PV-200 and PV-300 are FPGA-based processors, which could be spun into ASICs if desired. Obvious applications of these processors include applications in the DOD (tanks, aircraft, and ships), homeland security, intelligence, surveillance, and law enforcement. If developed into an ASIC, these processors will be suitable for a variety of portable applications, including gun sights, night vision goggles, binoculars, and guided munitions. This paper presents a variety of examples of PV-200 processing, including examples appropriate to border security, battlefield applications, port security, and surveillance from unmanned aerial vehicles.

Distributed Video Coding: Iterative Improvements

DEFF Research Database (Denmark)

Luong, Huynh Van

Nowadays, emerging applications such as wireless visual sensor networks and wireless video surveillance are requiring lightweight video encoding with high coding efficiency and error-resilience. Distributed Video Coding (DVC) is a new coding paradigm which exploits the source statistics...... and noise modeling and also learn from the previous decoded Wyner-Ziv (WZ) frames, side information and noise learning (SING) is proposed. The SING scheme introduces an optical flow technique to compensate the weaknesses of the block based SI generation and also utilizes clustering of DCT blocks to capture...... cross band correlation and increase local adaptivity in noise modeling. During decoding, the updated information is used to iteratively reestimate the motion and reconstruction in the proposed motion and reconstruction reestimation (MORE) scheme. The MORE scheme not only reestimates the motion vectors...

Automated UAV-based video exploitation using service oriented architecture framework

Science.gov (United States)

Se, Stephen; Nadeau, Christian; Wood, Scott

2011-05-01

Airborne surveillance and reconnaissance are essential for successful military missions. Such capabilities are critical for troop protection, situational awareness, mission planning, damage assessment, and others. Unmanned Aerial Vehicles (UAVs) gather huge amounts of video data but it is extremely labour-intensive for operators to analyze hours and hours of received data. At MDA, we have developed a suite of tools that can process the UAV video data automatically, including mosaicking, change detection and 3D reconstruction, which have been integrated within a standard GIS framework. In addition, the mosaicking and 3D reconstruction tools have also been integrated in a Service Oriented Architecture (SOA) framework. The Visualization and Exploitation Workstation (VIEW) integrates 2D and 3D visualization, processing, and analysis capabilities developed for UAV video exploitation. Visualization capabilities are supported through a thick-client Graphical User Interface (GUI), which allows visualization of 2D imagery, video, and 3D models. The GUI interacts with the VIEW server, which provides video mosaicking and 3D reconstruction exploitation services through the SOA framework. The SOA framework allows multiple users to perform video exploitation by running a GUI client on the operator's computer and invoking the video exploitation functionalities residing on the server. This allows the exploitation services to be upgraded easily and allows the intensive video processing to run on powerful workstations. MDA provides UAV services to the Canadian and Australian forces in Afghanistan with the Heron, a Medium Altitude Long Endurance (MALE) UAV system. On-going flight operations service provides important intelligence, surveillance, and reconnaissance information to commanders and front-line soldiers.

Multimodal Semantics Extraction from User-Generated Videos

Directory of Open Access Journals (Sweden)

Francesco Cricri

2012-01-01

Full Text Available User-generated video content has grown tremendously fast to the point of outpacing professional content creation. In this work we develop methods that analyze contextual information of multiple user-generated videos in order to obtain semantic information about public happenings (e.g., sport and live music events being recorded in these videos. One of the key contributions of this work is a joint utilization of different data modalities, including such captured by auxiliary sensors during the video recording performed by each user. In particular, we analyze GPS data, magnetometer data, accelerometer data, video- and audio-content data. We use these data modalities to infer information about the event being recorded, in terms of layout (e.g., stadium, genre, indoor versus outdoor scene, and the main area of interest of the event. Furthermore we propose a method that automatically identifies the optimal set of cameras to be used in a multicamera video production. Finally, we detect the camera users which fall within the field of view of other cameras recording at the same public happening. We show that the proposed multimodal analysis methods perform well on various recordings obtained in real sport events and live music performances.

The experiences of people with dementia and intellectual disabilities with surveillance technologies in residential care

NARCIS (Netherlands)

Niemeijer, A.R.; Depla, M.F.I.A.; Frederiks, B.J.M.; Hertogh, C.M.P.M.

2015-01-01

Background: Surveillance technology such as tag and tracking systems and video surveillance could increase the freedom of movement and consequently autonomy of clients in long-term residential care settings, but is also perceived as an intrusion on autonomy including privacy. Objective: To explore

Understanding surveillance technologies spy devices, their origins & applications

CERN Document Server

Petersen, JK

2001-01-01

From electronic wire taps to baby monitors and long-distance video and listening devices, startling changes occur everyday in how we gather, interpret, and transmit information. An extraordinary range of powerful new technologies has come into existence to meet the requirements of this expanding field.Your search for a comprehensive resource for surveillance devices is over. Understanding Surveillance Technologies: Spy Devices, Their Origins and Applications serves as a provocative, broad-based, and visually appealing reference that introduces and describes the technologies rapidly moving into

Is it acceptable to video-record palliative care consultations for research and training purposes? A qualitative interview study exploring the views of hospice patients, carers and clinical staff.

Science.gov (United States)

Pino, Marco; Parry, Ruth; Feathers, Luke; Faull, Christina

2017-09-01

Research using video recordings can advance understanding of healthcare communication and improve care, but making and using video recordings carries risks. To explore views of hospice patients, carers and clinical staff about whether videoing patient-doctor consultations is acceptable for research and training purposes. We used semi-structured group and individual interviews to gather hospice patients, carers and clinical staff views. We used Braun and Clark's thematic analysis. Interviews were conducted at one English hospice to inform the development of a larger video-based study. We invited patients with capacity to consent and whom the care team judged were neither acutely unwell nor severely distressed (11), carers of current or past patients (5), palliative medicine doctors (7), senior nurses (4) and communication skills educators (5). Participants viewed video-based research on communication as valuable because of its potential to improve communication, care and staff training. Video-based research raised concerns including its potential to affect the nature and content of the consultation and threats to confidentiality; however, these were not seen as sufficient grounds for rejecting video-based research. Video-based research was seen as acceptable and useful providing that measures are taken to reduce possible risks across the recruitment, recording and dissemination phases of the research process. Video-based research is an acceptable and worthwhile way of investigating communication in palliative medicine. Situated judgements should be made about when it is appropriate to involve individual patients and carers in video-based research on the basis of their level of vulnerability and ability to freely consent.

A System based on Adaptive Background Subtraction Approach for Moving Object Detection and Tracking in Videos

Directory of Open Access Journals (Sweden)

Bahadır KARASULU

2013-04-01

Full Text Available Video surveillance systems are based on video and image processing research areas in the scope of computer science. Video processing covers various methods which are used to browse the changes in existing scene for specific video. Nowadays, video processing is one of the important areas of computer science. Two-dimensional videos are used to apply various segmentation and object detection and tracking processes which exists in multimedia content-based indexing, information retrieval, visual and distributed cross-camera surveillance systems, people tracking, traffic tracking and similar applications. Background subtraction (BS approach is a frequently used method for moving object detection and tracking. In the literature, there exist similar methods for this issue. In this research study, it is proposed to provide a more efficient method which is an addition to existing methods. According to model which is produced by using adaptive background subtraction (ABS, an object detection and tracking system’s software is implemented in computer environment. The performance of developed system is tested via experimental works with related video datasets. The experimental results and discussion are given in the study

Does sharing the electronic health record in the consultation enhance patient involvement? A mixed-methods study using multichannel video recording and in-depth interviews in primary care.

Science.gov (United States)

Milne, Heather; Huby, Guro; Buckingham, Susan; Hayward, James; Sheikh, Aziz; Cresswell, Kathrin; Pinnock, Hilary

2016-06-01

Sharing the electronic health-care record (EHR) during consultations has the potential to facilitate patient involvement in their health care, but research about this practice is limited. We used multichannel video recordings to identify examples and examine the practice of screen-sharing within 114 primary care consultations. A subset of 16 consultations was viewed by the general practitioner and/or patient in 26 reflexive interviews. Screen-sharing emerged as a significant theme and was explored further in seven additional patient interviews. Final analysis involved refining themes from interviews and observation of videos to understand how screen-sharing occurred, and its significance to patients and professionals. Eighteen (16%) of 114 videoed consultations involved instances of screen-sharing. Screen-sharing occurred in six of the subset of 16 consultations with interviews and was a significant theme in 19 of 26 interviews. The screen was shared in three ways: 'convincing' the patient of a diagnosis or treatment; 'translating' between medical and lay understandings of disease/medication; and by patients 'verifying' the accuracy of the EHR. However, patients and most GPs perceived the screen as the doctor's domain, not to be routinely viewed by the patient. Screen-sharing can facilitate patient involvement in the consultation, depending on the way in which sharing comes about, but the perception that the record belongs to the doctor is a barrier. To exploit the potential of sharing the screen to promote patient involvement, there is a need to reconceptualise and redesign the EHR. © 2014 The Authors Health Expectations Published by John Wiley & Sons Ltd.

Nursing students' self-evaluation using a video recording of foley catheterization: effects on students' competence, communication skills, and learning motivation.

Science.gov (United States)

Yoo, Moon Sook; Yoo, Il Young; Lee, Hyejung

2010-07-01

An opportunity for a student to evaluate his or her own performance enhances self-awareness and promotes self-directed learning. Using three outcome measures of competency of procedure, communication skills, and learning motivation, the effects of self-evaluation using a video recording of the student's Foley catheterization was investigated in this study. The students in the experimental group (n = 20) evaluated their Foley catheterization performance by reviewing the video recordings of their own performance, whereas students in the control group (n = 20) received written evaluation guidelines only. The results showed that the students in the experimental group had better scores on competency (p communication skills (p performance developed by reviewing a videotape appears to increase the competency of clinical skills in nursing students. Copyright 2010, SLACK Incorporated.

Classifying Normal and Abnormal Status Based on Video Recordings of Epileptic Patients

Directory of Open Access Journals (Sweden)

Jing Li

2014-01-01

Full Text Available Based on video recordings of the movement of the patients with epilepsy, this paper proposed a human action recognition scheme to detect distinct motion patterns and to distinguish the normal status from the abnormal status of epileptic patients. The scheme first extracts local features and holistic features, which are complementary to each other. Afterwards, a support vector machine is applied to classification. Based on the experimental results, this scheme obtains a satisfactory classification result and provides a fundamental analysis towards the human-robot interaction with socially assistive robots in caring the patients with epilepsy (or other patients with brain disorders in order to protect them from injury.

Physics and Video Analysis

Science.gov (United States)

Allain, Rhett

2016-05-01

We currently live in a world filled with videos. There are videos on YouTube, feature movies and even videos recorded with our own cameras and smartphones. These videos present an excellent opportunity to not only explore physical concepts, but also inspire others to investigate physics ideas. With video analysis, we can explore the fantasy world in science-fiction films. We can also look at online videos to determine if they are genuine or fake. Video analysis can be used in the introductory physics lab and it can even be used to explore the make-believe physics embedded in video games. This book covers the basic ideas behind video analysis along with the fundamental physics principles used in video analysis. The book also includes several examples of the unique situations in which video analysis can be used.

Pollen Bearing Honey Bee Detection in Hive Entrance Video Recorded by Remote Embedded System for Pollination Monitoring

Science.gov (United States)

Babic, Z.; Pilipovic, R.; Risojevic, V.; Mirjanic, G.

2016-06-01

Honey bees have crucial role in pollination across the world. This paper presents a simple, non-invasive, system for pollen bearing honey bee detection in surveillance video obtained at the entrance of a hive. The proposed system can be used as a part of a more complex system for tracking and counting of honey bees with remote pollination monitoring as a final goal. The proposed method is executed in real time on embedded systems co-located with a hive. Background subtraction, color segmentation and morphology methods are used for segmentation of honey bees. Classification in two classes, pollen bearing honey bees and honey bees that do not have pollen load, is performed using nearest mean classifier, with a simple descriptor consisting of color variance and eccentricity features. On in-house data set we achieved correct classification rate of 88.7% with 50 training images per class. We show that the obtained classification results are not far behind from the results of state-of-the-art image classification methods. That favors the proposed method, particularly having in mind that real time video transmission to remote high performance computing workstation is still an issue, and transfer of obtained parameters of pollination process is much easier.

Surveillance system for nuclear power plants

International Nuclear Information System (INIS)

Mizeracki, M.T.

1981-01-01

This paper describes an integrated surveillance system for nuclear power plant application. The author explores an expanded role for closed circuit television, with remotely located cameras and infrared scanners as the basic elements. The video system, integrated with voice communication, can enhance the safe and efficient operation of the plant, by improving the operator's knowledge of plant conditions. 7 refs

Real-time Multiple Abnormality Detection in Video Data

DEFF Research Database (Denmark)

Have, Simon Hartmann; Ren, Huamin; Moeslund, Thomas B.

2013-01-01

Automatic abnormality detection in video sequences has recently gained an increasing attention within the research community. Although progress has been seen, there are still some limitations in current research. While most systems are designed at detecting specific abnormality, others which...... are capable of detecting more than two types of abnormalities rely on heavy computation. Therefore, we provide a framework for detecting abnormalities in video surveillance by using multiple features and cascade classifiers, yet achieve above real-time processing speed. Experimental results on two datasets...... show that the proposed framework can reliably detect abnormalities in the video sequence, outperforming the current state-of-the-art methods....

Non-technical skills for obstetricians conducting forceps and vacuum deliveries: qualitative analysis by interviews and video recordings.

Science.gov (United States)

Bahl, Rachna; Murphy, Deirdre J; Strachan, Bryony

2010-06-01

Non-technical skills are cognitive and social skills required in an operational task. These skills have been identified and taught in the surgical domain but are of particular relevance to obstetrics where the patient is awake, the partner is present and the clinical circumstances are acute and often stressful. The aim of this study was to define the non-technical skills of an operative vaginal delivery (forceps or vacuum) to facilitate transfer of skills from expert obstetricians to trainee obstetricians. Qualitative study using interviews and video recordings. The study was conducted at two university teaching hospitals (St. Michael's Hospital, Bristol and Ninewells Hospital, Dundee). Participants included 10 obstetricians and eight midwives identified as experts in conducting or supporting operative vaginal deliveries. Semi-structured interviews were carried out using routine clinical scenarios. The experts were also video recorded conducting forceps and vacuum deliveries in a simulation setting. The interviews and video recordings were transcribed verbatim and analysed using thematic coding. The anonymised data were independently coded by the three researchers and then compared for consistency of interpretation. The experts reviewed the coded data for respondent validation and clarification. The themes that emerged were used to identify the non-technical skills required for conducting an operative vaginal delivery. The final skills list was classified into seven main categories. Four categories (situational awareness, decision making, task management, and team work and communication) were similar to the categories identified in surgery. Three further categories unique to obstetrics were also identified (professional relationship with the woman, maintaining professional behaviour and cross-monitoring of performance). This explicitly defined skills taxonomy could aid trainees' understanding of the non-technical skills to be considered when conducting an operative

The reliability and accuracy of estimating heart-rates from RGB video recorded on a consumer grade camera

Science.gov (United States)

Eaton, Adam; Vincely, Vinoin; Lloyd, Paige; Hugenberg, Kurt; Vishwanath, Karthik

2017-03-01

Video Photoplethysmography (VPPG) is a numerical technique to process standard RGB video data of exposed human skin and extracting the heart-rate (HR) from the skin areas. Being a non-contact technique, VPPG has the potential to provide estimates of subject's heart-rate, respiratory rate, and even the heart rate variability of human subjects with potential applications ranging from infant monitors, remote healthcare and psychological experiments, particularly given the non-contact and sensor-free nature of the technique. Though several previous studies have reported successful correlations in HR obtained using VPPG algorithms to HR measured using the gold-standard electrocardiograph, others have reported that these correlations are dependent on controlling for duration of the video-data analyzed, subject motion, and ambient lighting. Here, we investigate the ability of two commonly used VPPG-algorithms in extraction of human heart-rates under three different laboratory conditions. We compare the VPPG HR values extracted across these three sets of experiments to the gold-standard values acquired by using an electrocardiogram or a commercially available pulseoximeter. The two VPPG-algorithms were applied with and without KLT-facial feature tracking and detection algorithms from the Computer Vision MATLAB® toolbox. Results indicate that VPPG based numerical approaches have the ability to provide robust estimates of subject HR values and are relatively insensitive to the devices used to record the video data. However, they are highly sensitive to conditions of video acquisition including subject motion, the location, size and averaging techniques applied to regions-of-interest as well as to the number of video frames used for data processing.

Towards Robust Face Recognition from Video

International Nuclear Information System (INIS)

Price, JR

2001-01-01

A novel, template-based method for face recognition is presented. The goals of the proposed method are to integrate multiple observations for improved robustness and to provide auxiliary confidence data for subsequent use in an automated video surveillance system. The proposed framework consists of a parallel system of classifiers, referred to as observers, where each observer is trained on one face region. The observer outputs are combined to yield the final recognition result. Three of the four confounding factors-expression, illumination, and decoration-are specifically addressed in this paper. The extension of the proposed approach to address the fourth confounding factor-pose-is straightforward and well supported in previous work. A further contribution of the proposed approach is the computation of a revealing confidence measure. This confidence measure will aid the subsequent application of the proposed method to video surveillance scenarios. Results are reported for a database comprising 676 images of 160 subjects under a variety of challenging circumstances. These results indicate significant performance improvements over previous methods and demonstrate the usefulness of the confidence data

Algorithm for Video Summarization of Bronchoscopy Procedures

Directory of Open Access Journals (Sweden)

Leszczuk Mikołaj I

2011-12-01

Full Text Available Abstract Background The duration of bronchoscopy examinations varies considerably depending on the diagnostic and therapeutic procedures used. It can last more than 20 minutes if a complex diagnostic work-up is included. With wide access to videobronchoscopy, the whole procedure can be recorded as a video sequence. Common practice relies on an active attitude of the bronchoscopist who initiates the recording process and usually chooses to archive only selected views and sequences. However, it may be important to record the full bronchoscopy procedure as documentation when liability issues are at stake. Furthermore, an automatic recording of the whole procedure enables the bronchoscopist to focus solely on the performed procedures. Video recordings registered during bronchoscopies include a considerable number of frames of poor quality due to blurry or unfocused images. It seems that such frames are unavoidable due to the relatively tight endobronchial space, rapid movements of the respiratory tract due to breathing or coughing, and secretions which occur commonly in the bronchi, especially in patients suffering from pulmonary disorders. Methods The use of recorded bronchoscopy video sequences for diagnostic, reference and educational purposes could be considerably extended with efficient, flexible summarization algorithms. Thus, the authors developed a prototype system to create shortcuts (called summaries or abstracts of bronchoscopy video recordings. Such a system, based on models described in previously published papers, employs image analysis methods to exclude frames or sequences of limited diagnostic or education value. Results The algorithm for the selection or exclusion of specific frames or shots from video sequences recorded during bronchoscopy procedures is based on several criteria, including automatic detection of "non-informative", frames showing the branching of the airways and frames including pathological lesions. Conclusions

Photogrammetric Applications of Immersive Video Cameras

Science.gov (United States)

Kwiatek, K.; Tokarczyk, R.

2014-05-01

The paper investigates immersive videography and its application in close-range photogrammetry. Immersive video involves the capture of a live-action scene that presents a 360° field of view. It is recorded simultaneously by multiple cameras or microlenses, where the principal point of each camera is offset from the rotating axis of the device. This issue causes problems when stitching together individual frames of video separated from particular cameras, however there are ways to overcome it and applying immersive cameras in photogrammetry provides a new potential. The paper presents two applications of immersive video in photogrammetry. At first, the creation of a low-cost mobile mapping system based on Ladybug®3 and GPS device is discussed. The amount of panoramas is much too high for photogrammetric purposes as the base line between spherical panoramas is around 1 metre. More than 92 000 panoramas were recorded in one Polish region of Czarny Dunajec and the measurements from panoramas enable the user to measure the area of outdoors (adverting structures) and billboards. A new law is being created in order to limit the number of illegal advertising structures in the Polish landscape and immersive video recorded in a short period of time is a candidate for economical and flexible measurements off-site. The second approach is a generation of 3d video-based reconstructions of heritage sites based on immersive video (structure from immersive video). A mobile camera mounted on a tripod dolly was used to record the interior scene and immersive video, separated into thousands of still panoramas, was converted from video into 3d objects using Agisoft Photoscan Professional. The findings from these experiments demonstrated that immersive photogrammetry seems to be a flexible and prompt method of 3d modelling and provides promising features for mobile mapping systems.

Content-based retrieval in videos from laparoscopic surgery

Science.gov (United States)

Schoeffmann, Klaus; Beecks, Christian; Lux, Mathias; Uysal, Merih Seran; Seidl, Thomas

2016-03-01

In the field of medical endoscopy more and more surgeons are changing over to record and store videos of their endoscopic procedures for long-term archival. These endoscopic videos are a good source of information for explanations to patients and follow-up operations. As the endoscope is the "eye of the surgeon", the video shows the same information the surgeon has seen during the operation, and can describe the situation inside the patient much more precisely than an operation report would do. Recorded endoscopic videos can also be used for training young surgeons and in some countries the long-term archival of video recordings from endoscopic procedures is even enforced by law. A major challenge, however, is to efficiently access these very large video archives for later purposes. One problem, for example, is to locate specific images in the videos that show important situations, which are additionally captured as static images during the procedure. This work addresses this problem and focuses on contentbased video retrieval in data from laparoscopic surgery. We propose to use feature signatures, which can appropriately and concisely describe the content of laparoscopic images, and show that by using this content descriptor with an appropriate metric, we are able to efficiently perform content-based retrieval in laparoscopic videos. In a dataset with 600 captured static images from 33 hours recordings, we are able to find the correct video segment for more than 88% of these images.

Use of Specialized Security Techniques to Enhance the Authenticity of Surveillance Data

International Nuclear Information System (INIS)

Rocchi, S.; Simlinger, R.; Moeslinger, M.; Murray, J.; Hadfi, G.; John, M.

2015-01-01

In 2013, the IAEA started testing a commercial application-specific integrated circuit (ASIC) from LiveWire technology for its ability to monitor changes in wiring systems in real time. This technology is useful in specific situations where digital video signal authentication cannot be used due to analog cameras used in high radiation level (e.g., hot cells, reading spent fuel identification numbers), dimensional requirements, or when an analog signal has to be shared with a facility's built-in camera. The LiveWire ASIC can be used for tamper indication with resulting cost savings by eliminating the need for specifically manufactured tamper indicating conduits. This technology can also be integrated within the Next Generation Surveillance System (NGSS) camera module, coupled with the upcoming implementation of the analogue video input, for the protection of analog video signals provided by an external camera head. Digital camera identification based on sensor pattern noise analysis is another technique under investigation at the IAEA. Sensor pattern noise is unique to a device and can be used as a distinct identification ''fingerprint''. This technique is increasingly being employed for camera identification and in-image authentication & video forensics by commercial software suites. Interest in this technique for use in safeguards applications is justified by the need to own specific forensic tools and the requirement to verify the authenticity of surveillance streams acquired in analog video input configurations where the camera head is external to the NGSS camera module). Preliminary tests have been performed on surveillance data acquired by NGSS cameras and post-processed with commercial forensic software. The promising results obtained encourage further development efforts and tests to be conducted to fully assess the potential capabilities this technology offers. This paper will focus on these two applications recently addressed by

Investigating interactional competence using video recordings in ESL classrooms to enhance communication

Science.gov (United States)

Krishnasamy, Hariharan N.

2016-08-01

Interactional competence, or knowing and using the appropriate skills for interaction in various communication situations within a given speech community and culture is important in the field of business and professional communication [1], [2]. Similar to many developing countries in the world, Malaysia is a growing economy and undergraduates will have to acquire appropriate communication skills. In this study, two aspects of the interactional communicative competence were investigated, that is the linguistic and paralinguistic behaviors in small group communication as well as conflict management in small group communication. Two groups of student participants were given a problem-solving task based on a letter of complaint. The two groups of students were video recorded during class hours for 40 minutes. The videos and transcription of the group discussions were analyzed to examine the use of language and interaction in small groups. The analysis, findings and interpretations were verified with three lecturers in the field of communication. The results showed that students were able to accomplish the given task using verbal and nonverbal communication. However, participation was unevenly distributed with two students talking for less than a minute. Negotiation was based more on alternative views and consensus was easily achieved. In concluding, suggestions are given on ways to improve English language communication.

SnapVideo: Personalized Video Generation for a Sightseeing Trip.

Science.gov (United States)

Zhang, Luming; Jing, Peiguang; Su, Yuting; Zhang, Chao; Shaoz, Ling

2017-11-01

Leisure tourism is an indispensable activity in urban people's life. Due to the popularity of intelligent mobile devices, a large number of photos and videos are recorded during a trip. Therefore, the ability to vividly and interestingly display these media data is a useful technique. In this paper, we propose SnapVideo, a new method that intelligently converts a personal album describing of a trip into a comprehensive, aesthetically pleasing, and coherent video clip. The proposed framework contains three main components. The scenic spot identification model first personalizes the video clips based on multiple prespecified audience classes. We then search for some auxiliary related videos from YouTube 1 according to the selected photos. To comprehensively describe a scenery, the view generation module clusters the crawled video frames into a number of views. Finally, a probabilistic model is developed to fit the frames from multiple views into an aesthetically pleasing and coherent video clip, which optimally captures the semantics of a sightseeing trip. Extensive user studies demonstrated the competitiveness of our method from an aesthetic point of view. Moreover, quantitative analysis reflects that semantically important spots are well preserved in the final video clip. 1 https://www.youtube.com/.

State of the art in video system performance

Science.gov (United States)

Lewis, Michael J.

1990-01-01

The closed circuit television (CCTV) system that is onboard the Space Shuttle has the following capabilities: camera, video signal switching and routing unit (VSU); and Space Shuttle video tape recorder. However, this system is inadequate for use with many experiments that require video imaging. In order to assess the state-of-the-art in video technology and data storage systems, a survey was conducted of the High Resolution, High Frame Rate Video Technology (HHVT) products. The performance of the state-of-the-art solid state cameras and image sensors, video recording systems, data transmission devices, and data storage systems versus users' requirements are shown graphically.

Integrating IPix immersive video surveillance with unattended and remote monitoring (UNARM) systems

International Nuclear Information System (INIS)

Michel, K.D.; Klosterbuer, S.F.; Langner, D.C.

2004-01-01

Commercially available IPix cameras and software are being researched as a means by which an inspector can be virtually immersed into a nuclear facility. A single IPix camera can provide 360 by 180 degree views with full pan-tilt-zoom capability, and with no moving parts on the camera mount. Immersive video technology can be merged into the current Unattended and Remote Monitoring (UNARM) system, thereby providing an integrated system of monitoring capabilities that tie together radiation, video, isotopic analysis, Global Positioning System (GPS), etc. The integration of the immersive video capability with other monitoring methods already in place provides a significantly enhanced situational awareness to the International Atomic Energy Agency (IAEA) inspectors.

Reliability of video-based identification of footstrike pattern and video time frame at initial contact in recreational runners

DEFF Research Database (Denmark)

Damsted, Camma; Larsen, L H; Nielsen, R.O.

2015-01-01

and video time frame at initial contact during treadmill running using two-dimensional (2D) video recordings. METHODS: Thirty-one recreational runners were recorded twice, 1 week apart, with a high-speed video camera. Two blinded raters evaluated each video twice with an interval of at least 14 days....... RESULTS: Kappa values for within-day identification of footstrike pattern revealed intra-rater agreement of 0.83-0.88 and inter-rater agreement of 0.50-0.63. Corresponding figures for between-day identification of footstrike pattern were 0.63-0.69 and 0.41-0.53, respectively. Identification of video time...... in 36% of the identifications (kappa=0.41). The 95% limits of agreement for identification of video time frame at initial contact may, at times, allow for different identification of footstrike pattern. Clinicians should, therefore, be encouraged to continue using clinical 2D video setups for intra...

An improvement analysis on video compression using file segmentation

Science.gov (United States)

Sharma, Shubhankar; Singh, K. John; Priya, M.

2017-11-01

From the past two decades the extreme evolution of the Internet has lead a massive rise in video technology and significantly video consumption over the Internet which inhabits the bulk of data traffic in general. Clearly, video consumes that so much data size on the World Wide Web, to reduce the burden on the Internet and deduction of bandwidth consume by video so that the user can easily access the video data.For this, many video codecs are developed such as HEVC/H.265 and V9. Although after seeing codec like this one gets a dilemma of which would be improved technology in the manner of rate distortion and the coding standard.This paper gives a solution about the difficulty for getting low delay in video compression and video application e.g. ad-hoc video conferencing/streaming or observation by surveillance. Also this paper describes the benchmark of HEVC and V9 technique of video compression on subjective oral estimations of High Definition video content, playback on web browsers. Moreover, this gives the experimental ideology of dividing the video file into several segments for compression and putting back together to improve the efficiency of video compression on the web as well as on the offline mode.

The MIVS [Modular Integrated Video System] Image Processing System (MIPS) for assisting in the optical surveillance data review process

International Nuclear Information System (INIS)

Horton, R.D.

1990-01-01

The MIVS (Modular Integrated Video System) Image Processing System (MIPS) is designed to review MIVS surveillance data automatically and identify IAEA defined objects of safeguards interest. To achieve this, MIPS uses both digital image processing and neural network techniques to detect objects of safeguards interest in an image and assist an inspector in the review of the MIVS video tapes. MIPS must be ''trained'' i.e., given example images showing the objects that it must recognize, for each different facility. Image processing techniques are used to first identify significantly changed areas of the image. A neural network is then used to determine if the image contains the important object(s). The MIPS algorithms have demonstrated the capability to detect when a spent fuel shipping cask is present in an image after MIPS is properly trained to detect the cask. The algorithms have also demonstrated the ability to reject uninteresting background activities such as people and crane movement. When MIPS detects an important object, the corresponding image is stored to another media and later replayed for the inspector to review. The MIPS algorithms are being implemented in commercially available hardware: an image processing subsystem and an 80386 Personal Computer. MIPS will have a high-level easy-to-use system interface to allow inspectors to train MIPS on MIVS data from different facilities and on various safeguards significant objects. This paper describes the MIPS algorithms, hardware implementation, and system configuration. 3 refs., 10 figs

Sound for digital video

CERN Document Server

Holman, Tomlinson

2013-01-01

Achieve professional quality sound on a limited budget! Harness all new, Hollywood style audio techniques to bring your independent film and video productions to the next level.In Sound for Digital Video, Second Edition industry experts Tomlinson Holman and Arthur Baum give you the tools and knowledge to apply recent advances in audio capture, video recording, editing workflow, and mixing to your own film or video with stunning results. This fresh edition is chockfull of techniques, tricks, and workflow secrets that you can apply to your own projects from preproduction

Individualized music played for agitated patients with dementia: analysis of video-recorded sessions.

Science.gov (United States)

Ragneskog, H; Asplund, K; Kihlgren, M; Norberg, A

2001-06-01

Many nursing home patients with dementia suffer from symptoms of agitation (e.g. anxiety, shouting, irritability). This study investigated whether individualized music could be used as a nursing intervention to reduce such symptoms in four patients with severe dementia. The patients were video-recorded during four sessions in four periods, including a control period without music, two periods where individualized music was played, and one period where classical music was played. The recordings were analysed by systematic observations and the Facial Action Coding System. Two patients became calmer during some of the individualized music sessions; one patient remained sitting in her armchair longer, and the other patient stopped shouting. For the two patients who were most affected by dementia, the noticeable effect of music was minimal. If the nursing staff succeed in discovering the music preferences of an individual, individualized music may be an effective nursing intervention to mitigate anxiety and agitation for some patients.

Consumer-based technology for distribution of surgical videos for objective evaluation.

Science.gov (United States)

Gonzalez, Ray; Martinez, Jose M; Lo Menzo, Emanuele; Iglesias, Alberto R; Ro, Charles Y; Madan, Atul K

2012-08-01

The Global Operative Assessment of Laparoscopic Skill (GOALS) is one validated metric utilized to grade laparoscopic skills and has been utilized to score recorded operative videos. To facilitate easier viewing of these recorded videos, we are developing novel techniques to enable surgeons to view these videos. The objective of this study is to determine the feasibility of utilizing widespread current consumer-based technology to assist in distributing appropriate videos for objective evaluation. Videos from residents were recorded via a direct connection from the camera processor via an S-video output via a cable into a hub to connect to a standard laptop computer via a universal serial bus (USB) port. A standard consumer-based video editing program was utilized to capture the video and record in appropriate format. We utilized mp4 format, and depending on the size of the file, the videos were scaled down (compressed), their format changed (using a standard video editing program), or sliced into multiple videos. Standard available consumer-based programs were utilized to convert the video into a more appropriate format for handheld personal digital assistants. In addition, the videos were uploaded to a social networking website and video sharing websites. Recorded cases of laparoscopic cholecystectomy in a porcine model were utilized. Compression was required for all formats. All formats were accessed from home computers, work computers, and iPhones without difficulty. Qualitative analyses by four surgeons demonstrated appropriate quality to grade for these formats. Our preliminary results show promise that, utilizing consumer-based technology, videos can be easily distributed to surgeons to grade via GOALS via various methods. Easy accessibility may help make evaluation of resident videos less complicated and cumbersome.

Feature Quantization and Pooling for Videos

Science.gov (United States)

2014-05-01

less vertical motion. The exceptions are videos from the classes of biking (mainly due to the camera tracking fast bikers), jumping on a trampoline ...tracking the bikers; the jumping videos, featuring people on trampolines , the swing videos, which are usually recorded in profile view, and the walking

Medical students' perceptions of video-linked lectures and video-streaming

Directory of Open Access Journals (Sweden)

Karen Mattick

2010-12-01

Full Text Available Video-linked lectures allow healthcare students across multiple sites, and between university and hospital bases, to come together for the purposes of shared teaching. Recording and streaming video-linked lectures allows students to view them at a later date and provides an additional resource to support student learning. As part of a UK Higher Education Academy-funded Pathfinder project, this study explored medical students' perceptions of video-linked lectures and video-streaming, and their impact on learning. The methodology involved semi-structured interviews with 20 undergraduate medical students across four sites and five year groups. Several key themes emerged from the analysis. Students generally preferred live lectures at the home site and saw interaction between sites as a major challenge. Students reported that their attendance at live lectures was not affected by the availability of streamed lectures and tended to be influenced more by the topic and speaker than the technical arrangements. These findings will inform other educators interested in employing similar video technologies in their teaching.Keywords: video-linked lecture; video-streaming; student perceptions; decisionmaking; cross-campus teaching.

Video Analytics for Business Intelligence

CERN Document Server

Porikli, Fatih; Xiang, Tao; Gong, Shaogang

2012-01-01

Closed Circuit TeleVision (CCTV) cameras have been increasingly deployed pervasively in public spaces including retail centres and shopping malls. Intelligent video analytics aims to automatically analyze content of massive amount of public space video data and has been one of the most active areas of computer vision research in the last two decades. Current focus of video analytics research has been largely on detecting alarm events and abnormal behaviours for public safety and security applications. However, increasingly CCTV installations have also been exploited for gathering and analyzing business intelligence information, in order to enhance marketing and operational efficiency. For example, in retail environments, surveillance cameras can be utilised to collect statistical information about shopping behaviour and preference for marketing (e.g., how many people entered a shop; how many females/males or which age groups of people showed interests to a particular product; how long did they stay in the sho...

Application of Video Recognition Technology in Landslide Monitoring System

Directory of Open Access Journals (Sweden)

Qingjia Meng

2018-01-01

Full Text Available The video recognition technology is applied to the landslide emergency remote monitoring system. The trajectories of the landslide are identified by this system in this paper. The system of geological disaster monitoring is applied synthetically to realize the analysis of landslide monitoring data and the combination of video recognition technology. Landslide video monitoring system will video image information, time point, network signal strength, power supply through the 4G network transmission to the server. The data is comprehensively analysed though the remote man-machine interface to conduct to achieve the threshold or manual control to determine the front-end video surveillance system. The system is used to identify the target landslide video for intelligent identification. The algorithm is embedded in the intelligent analysis module, and the video frame is identified, detected, analysed, filtered, and morphological treatment. The algorithm based on artificial intelligence and pattern recognition is used to mark the target landslide in the video screen and confirm whether the landslide is normal. The landslide video monitoring system realizes the remote monitoring and control of the mobile side, and provides a quick and easy monitoring technology.

Event detection for car park entries by video-surveillance

Science.gov (United States)

Coquin, Didier; Tailland, Johan; Cintract, Michel

2007-10-01

Intelligent surveillance has become an important research issue due to the high cost and low efficiency of human supervisors, and machine intelligence is required to provide a solution for automated event detection. In this paper we describe a real-time system that has been used for detecting car park entries, using an adaptive background learning algorithm and two indicators representing activity and identity to overcome the difficulty of tracking objects.

IndigoVision IP video keeps watch over remote gas facilities in Amazon rainforest

Energy Technology Data Exchange (ETDEWEB)

Anon.

2010-07-15

In Brazil, IndigoVision's complete IP video security technology is being used to remotely monitor automated gas facilities in the Amazon rainforest. Twelve compounds containing millions of dollars of process automation, telemetry, and telecom equipment are spread across many thousands of miles of forest and centrally monitored in Rio de Janeiro using Control Center, the company's Security Management software. The security surveillance project uses a hybrid IP network comprising satellite, fibre optic, and wireless links. In addition to advanced compression technology and bandwidth tuning tools, the IP video system uses Activity Controlled Framerate (ACF), which controls the frame rate of the camera video stream based on the amount of motion in a scene. In the absence of activity, the video is streamed at a minimum framerate, but the moment activity is detected the framerate jumps to the configured maximum. This significantly reduces the amount of bandwidth needed. At each remote facility, fixed analog cameras are connected to transmitter nodules that convert the feed to high-quality digital video for transmission over the IP network. The system also integrates alarms with video surveillance. PIR intruder detectors are connected to the system via digital inputs on the transmitters. Advanced alarm-handling features in the Control Center software process the PIR detector alarms and alert operators to potential intrusions. This improves operator efficiency and incident response. 1 fig.

Standardized rendering from IR surveillance motion imagery

Science.gov (United States)

Prokoski, F. J.

2014-06-01

Government agencies, including defense and law enforcement, increasingly make use of video from surveillance systems and camera phones owned by non-government entities.Making advanced and standardized motion imaging technology available to private and commercial users at cost-effective prices would benefit all parties. In particular, incorporating thermal infrared into commercial surveillance systems offers substantial benefits beyond night vision capability. Face rendering is a process to facilitate exploitation of thermal infrared surveillance imagery from the general area of a crime scene, to assist investigations with and without cooperating eyewitnesses. Face rendering automatically generates greyscale representations similar to police artist sketches for faces in surveillance imagery collected from proximate locations and times to a crime under investigation. Near-realtime generation of face renderings can provide law enforcement with an investigation tool to assess witness memory and credibility, and integrate reports from multiple eyewitnesses, Renderings can be quickly disseminated through social media to warn of a person who may pose an immediate threat, and to solicit the public's help in identifying possible suspects and witnesses. Renderings are pose-standardized so as to not divulge the presence and location of eyewitnesses and surveillance cameras. Incorporation of thermal infrared imaging into commercial surveillance systems will significantly improve system performance, and reduce manual review times, at an incremental cost that will continue to decrease. Benefits to criminal justice would include improved reliability of eyewitness testimony and improved accuracy of distinguishing among minority groups in eyewitness and surveillance identifications.

Video Monitoring a Simulation-Based Quality Improvement Program in Bihar, India.

Science.gov (United States)

Dyer, Jessica; Spindler, Hilary; Christmas, Amelia; Shah, Malay Bharat; Morgan, Melissa; Cohen, Susanna R; Sterne, Jason; Mahapatra, Tanmay; Walker, Dilys

2018-04-01

Simulation-based training has become an accepted clinical training andragogy in high-resource settings with its use increasing in low-resource settings. Video recordings of simulated scenarios are commonly used by facilitators. Beyond using the videos during debrief sessions, researchers can also analyze the simulation videos to quantify technical and nontechnical skills during simulated scenarios over time. Little is known about the feasibility and use of large-scale systems to video record and analyze simulation and debriefing data for monitoring and evaluation in low-resource settings. This manuscript describes the process of designing and implementing a large-scale video monitoring system. Mentees and Mentors were consented and all simulations and debriefs conducted at 320 Primary Health Centers (PHCs) were video recorded. The system design, number of video recordings, and inter-rater reliability of the coded videos were assessed. The final dataset included a total of 11,278 videos. Overall, a total of 2,124 simulation videos were coded and 183 (12%) were blindly double-coded. For the double-coded sample, the average inter-rater reliability (IRR) scores were 80% for nontechnical skills, and 94% for clinical technical skills. Among 4,450 long debrief videos received, 216 were selected for coding and all were double-coded. Data quality of simulation videos was found to be very good in terms of recorded instances of "unable to see" and "unable to hear" in Phases 1 and 2. This study demonstrates that video monitoring systems can be effectively implemented at scale in resource limited settings. Further, video monitoring systems can play several vital roles within program implementation, including monitoring and evaluation, provision of actionable feedback to program implementers, and assurance of program fidelity.

Light-water-reactor pressure-vessel surveillance dosimetry using solid-state track recorders

International Nuclear Information System (INIS)

Ruddy, F.H.; Roberts, J.H.; Gold, R.; Preston, C.C.

1983-07-01

The accumulation of neutron dose by the pressure vessel of an operating nuclear power plant results in damage in the form of steel embrittlement. In order to ascertain the safe operating lifetime of the reactor pressure vessel, dosimetric measurements must be made to evaluate the neutron dose to the pressure vessel and relate this dose to the cumulative radiation damage. Advanced dosimetry techniques are being evaluated for surveillance of operating reactors. Solid-state track recorder (SSTR) techniques are included among these advanced dosimetry techniques. Described herein are low neutron fluence calibration and standardization measurements that are being carried out in pressure vessel mockup benchmark neutron fields in the USA, Belgium, and England. In addition, high fluence SSTR dosimetry capsules have been irradiated with metallurgical specimens in a pressure vessel mockup facility. The design and deployment of advances SSTR dosimetry capsules in operating power reactors are also described

GEOVISUALIZATION FOR SMART VIDEO SURVEILLANCE

Directory of Open Access Journals (Sweden)

R. Oves García

2017-09-01

Full Text Available Nowadays with the emergence of smart cities and the creation of new sensors capable to connect to the network, it is not only possible to monitor the entire infrastructure of a city, including roads, bridges, rail/subways, airports, communications, water, power, but also to optimize its resources, plan its preventive maintenance and monitor security aspects while maximizing services for its citizens. In particular, the security aspect is one of the most important issues due to the need to ensure the safety of people. However, if we want to have a good security system, it is necessary to take into account the way that we are going to present the information. In order to show the amount of information generated by sensing devices in real time in an understandable way, several visualization techniques are proposed for both local (involves sensing devices in a separated way and global visualization (involves sensing devices as a whole. Taking into consideration that the information is produced and transmitted from a geographic location, the integration of a Geographic Information System to manage and visualize the behavior of data becomes very relevant. With the purpose of facilitating the decision-making process in a security system, we have integrated the visualization techniques and the Geographic Information System to produce a smart security system, based on a cloud computing architecture, to show relevant information about a set of monitored areas with video cameras.

Geovisualization for Smart Video Surveillance

Science.gov (United States)

Oves García, R.; Valentín, L.; Serrano, S. A.; Palacios-Alonso, M. A.; Sucar, L. Enrique

2017-09-01

Nowadays with the emergence of smart cities and the creation of new sensors capable to connect to the network, it is not only possible to monitor the entire infrastructure of a city, including roads, bridges, rail/subways, airports, communications, water, power, but also to optimize its resources, plan its preventive maintenance and monitor security aspects while maximizing services for its citizens. In particular, the security aspect is one of the most important issues due to the need to ensure the safety of people. However, if we want to have a good security system, it is necessary to take into account the way that we are going to present the information. In order to show the amount of information generated by sensing devices in real time in an understandable way, several visualization techniques are proposed for both local (involves sensing devices in a separated way) and global visualization (involves sensing devices as a whole). Taking into consideration that the information is produced and transmitted from a geographic location, the integration of a Geographic Information System to manage and visualize the behavior of data becomes very relevant. With the purpose of facilitating the decision-making process in a security system, we have integrated the visualization techniques and the Geographic Information System to produce a smart security system, based on a cloud computing architecture, to show relevant information about a set of monitored areas with video cameras.

Design and Implementation of Video Shot Detection on Field Programmable Gate Arrays

Directory of Open Access Journals (Sweden)

Jharna Majumdar

2012-09-01

Full Text Available Video has become an interactive medium of communication in everyday life. The sheer volume of video makes it extremely difficult to browse through and find the required data. Hence extraction of key frames from the video which represents the abstract of the entire video becomes necessary. The aim of the video shot detection is to find the position of the shot boundaries, so that key frames can be selected from each shot for subsequent processing such as video summarization, indexing etc. For most of the surveillance applications like video summery, face recognition etc., the hardware (real time implementation of these algorithms becomes necessary. Here in this paper we present the architecture for simultaneous accessing of consecutive frames, which are then used for the implementation of various Video Shot Detection algorithms. We also present the real time implementation of three video shot detection algorithms using the above mentioned architecture on FPGA (Field Programmable Gate Arrays.

Solid-state track recorder neutron dosimetry in light water reactor pressure vessel surveillance mockups

International Nuclear Information System (INIS)

Ruddy, F.H.; Roberts, J.H.; Gold, R.; Preston, C.C.

1984-09-01

Solid-State Track Recorder (SSTR) measurements of neutron-induced fission rates have been made in several pressure vessel mockup facilities as part of the US Nuclear Regulatory Commission's (NRC) Light Water Reactor Pressure Vessel Surveillance Dosimetry Improvement Program (LWR-PV-SDIP). The results of extensive physics-dosimetry measurements made at the Pool Critical Assembly (PCA) at Oak Ridge National Laboratory (ORNL) in Oak Ridge, TN are summarized. Included are 235 U, 238 U, 237 Np and 232 Th fission rates in the PCA 12/13, 8/7, and 4/12 SSC configurations. Additional low power measurements have been made in an engineering mockup at the VENUS critical assembly at CEN-SCK, Mol, Belgium. 237 Np and 238 U fission rates were made at selected locations in the VENUS mockup, which models the in-core and near-core regions of a pressurized water reactor (PWR). Absolute core power measurements were made at VENUS by exposing solid-state track recorders (SSTRs) to polished fuel pellets within in-core fuel pins. 8 references, 4 figures, 10 tables

Video-based noncooperative iris image segmentation.

Science.gov (United States)

Du, Yingzi; Arslanturk, Emrah; Zhou, Zhi; Belcher, Craig

2011-02-01

In this paper, we propose a video-based noncooperative iris image segmentation scheme that incorporates a quality filter to quickly eliminate images without an eye, employs a coarse-to-fine segmentation scheme to improve the overall efficiency, uses a direct least squares fitting of ellipses method to model the deformed pupil and limbic boundaries, and develops a window gradient-based method to remove noise in the iris region. A remote iris acquisition system is set up to collect noncooperative iris video images. An objective method is used to quantitatively evaluate the accuracy of the segmentation results. The experimental results demonstrate the effectiveness of this method. The proposed method would make noncooperative iris recognition or iris surveillance possible.

Nest-crowdcontrol: Advanced video-based crowd monitoring for large public events

OpenAIRE

Monari, Eduardo; Fischer, Yvonne; Anneken, Mathias

2015-01-01

Current video surveillance systems still lack of intelligent video and data analysis modules for supporting situation awareness of decision makers. Especially in mass gatherings like large public events, the decision maker would benefit from different views of the area, especially from crowd density estimations. This article describes a multi-camera system called NEST and its application for crowd density analysis. First, the overall system design is presented. Based on this, the crowd densit...

Parts-based detection of AK-47s for forensic video analysis

OpenAIRE

Jones, Justin

2010-01-01

Approved for public release; distribution is unlimited Law enforcement, military personnel, and forensic analysts are increasingly reliant on imaging ystems to perform in a hostile environment and require a robust method to efficiently locate bjects of interest in videos and still images. Current approaches require a full-time operator to monitor a surveillance video or to sift a hard drive for suspicious content. In this thesis, we demonstrate the effectiveness of automated analysis tools...

Energy use of televisions and video cassette recorders in the U.S.

Energy Technology Data Exchange (ETDEWEB)

Meier, Alan; Rosen, Karen

1999-03-01

In an effort to more accurately determine nationwide energy consumption, the U.S. Department of Energy has recently commissioned studies with the goal of improving its understanding of the energy use of appliances in the miscellaneous end-use category. This study presents an estimate of the residential energy consumption of two of the most common domestic appliances in the miscellaneous end-use category: color televisions (TVs) and video cassette recorders (VCRs). The authors used a bottom-up approach in estimating national TV and VCR energy consumption. First, they obtained estimates of stock and usage from national surveys, while TV and VCR power measurements and other data were recorded at repair and retail shops. Industry-supplied shipment and sales distributions were then used to minimize bias in the power measurement samples. To estimate national TV and VCR energy consumption values, ranges of power draw and mode usage were created to represent situations in homes with more than one unit. Average energy use values for homes with one unit, two units, etc. were calculated and summed to provide estimates of total national TV and VCR energy consumption.

High speed video recording system on a chip for detonation jet engine testing

Directory of Open Access Journals (Sweden)

Samsonov Alexander N.

2018-01-01

Full Text Available This article describes system on a chip development for high speed video recording purposes. Current research was started due to difficulties in selection of FPGAs and CPUs which include wide bandwidth, high speed and high number of multipliers for real time signal analysis implementation. Current trend of high density silicon device integration will result soon in a hybrid sensor-controller-memory circuit packed in a single chip. This research was the first step in a series of experiments in manufacturing of hybrid devices. The current task is high level syntheses of high speed logic and CPU core in an FPGA. The work resulted in FPGA-based prototype implementation and examination.

A Master-Slave Surveillance System to Acquire Panoramic and Multiscale Videos

Directory of Open Access Journals (Sweden)

Yu Liu

2014-01-01

Full Text Available This paper describes a master-slave visual surveillance system that uses stationary-dynamic camera assemblies to achieve wide field of view and selective focus of interest. In this system, the fish-eye panoramic camera is capable of monitoring a large area, and the PTZ dome camera has high mobility and zoom ability. In order to achieve the precise interaction, preprocessing spatial calibration between these two cameras is required. This paper introduces a novel calibration approach to automatically calculate a transformation matrix model between two coordinate systems by matching feature points. In addition, a distortion correction method based on Midpoint Circle Algorithm is proposed to handle obvious horizontal distortion in the captured panoramic image. Experimental results using realistic scenes have demonstrated the efficiency and applicability of the system with real-time surveillance.

Record Desktop Activity as Streaming Videos for Asynchronous, Video-Based Collaborative Learning.

Science.gov (United States)

Chang, Chih-Kai

As Web-based courses using videos have become popular in recent years, the issue of managing audiovisual aids has become noteworthy. The contents of audiovisual aids may include a lecture, an interview, a featurette, an experiment, etc. The audiovisual aids of Web-based courses are transformed into the streaming format that can make the quality of…

Computer-Aided Video Differential Planimetry

Science.gov (United States)

Tobin, Michael; Djoleto, Ben D.

1984-08-01

THE VIDEO DIFFERENTIAL PLANIMETER (VDP)1 is a re-mote sensing instrument that can measure minute changes in the area of any object seen by an optical scanning system. The composite video waveforms obtained by scanning the object against a contrasting back-ground are amplified and shaped to yield a sequence of constant amplitude pulses whose polarity distinguishes the studied area from its background and whose varying widths reflect the dynamics of the viewed object. These pulses are passed through a relatively long time-constant capacitor-resistor circuit and are then fed into an integrator. The net integration voltage resulting from the most recent sequence of object-background time pulses is recorded and the integrator is returned to zero at the end of each video frame. If the object's area remains constant throughout the following frame, the integrator's summation will also remain constant. However, if the object's area varies, the positive and negative time pulses entering the integrator will change, and the integrator's summation will vary proportionately. The addition of a computer interface and a video recorder enhances the versatility and the resolving power of the VDP by permitting the repeated study and analysis of selected portions of the recorded data, thereby uncovering the major sources of the object's dynamics. Among the medical and biological procedures for which COMPUTER-AIDED VIDEO DIFFERENTIAL PLANIMETRY is suitable are Ophthalmoscopy, Endoscopy, Microscopy, Plethysmography, etc. A recent research study in Ophthalmoscopy2 will be cited to suggest a useful application of Video Differential Planimetry.

A software oscilloscope for DOS computers with an integrated remote control for a video tape recorder. The assignment of acoustic events to behavioural observations.

Science.gov (United States)

Höller, P

1995-12-01

With only a little knowledge of programming IBM compatible computers in Basic, it is possible to create a digital software oscilloscope with sampling rates up to 17 kHz (depending on the CPU- and bus-speed). The only additional hardware requirement is a common sound card compatible with the Soundblaster. The system presented in this paper is built to analyse the direction a flying bat is facing during sound emission. For this reason the system works with some additional hardware devices, in order to monitor video sequences at the computer screen, overlaid by an online oscillogram. Using an RS232-interface for a Panasonic video tape recorder both the oscillogram and the video tape recorder can be controlled simultaneously and moreover be analysed frame by frame. Not only acoustical events, but also APs, myograms, EEGs and other physiological data can be digitized and analysed in combination with the behavioural data of an experimental subject.

Automatic inference of geometric camera parameters and inter-camera topology in uncalibrated disjoint surveillance cameras

Science.gov (United States)

den Hollander, Richard J. M.; Bouma, Henri; Baan, Jan; Eendebak, Pieter T.; van Rest, Jeroen H. C.

2015-10-01

Person tracking across non-overlapping cameras and other types of video analytics benefit from spatial calibration information that allows an estimation of the distance between cameras and a relation between pixel coordinates and world coordinates within a camera. In a large environment with many cameras, or for frequent ad-hoc deployments of cameras, the cost of this calibration is high. This creates a barrier for the use of video analytics. Automating the calibration allows for a short configuration time, and the use of video analytics in a wider range of scenarios, including ad-hoc crisis situations and large scale surveillance systems. We show an autocalibration method entirely based on pedestrian detections in surveillance video in multiple non-overlapping cameras. In this paper, we show the two main components of automatic calibration. The first shows the intra-camera geometry estimation that leads to an estimate of the tilt angle, focal length and camera height, which is important for the conversion from pixels to meters and vice versa. The second component shows the inter-camera topology inference that leads to an estimate of the distance between cameras, which is important for spatio-temporal analysis of multi-camera tracking. This paper describes each of these methods and provides results on realistic video data.

Remote control video cameras on a suborbital rocket

International Nuclear Information System (INIS)

Wessling, Francis C.

1997-01-01

Three video cameras were controlled in real time from the ground to a sub-orbital rocket during a fifteen minute flight from White Sands Missile Range in New Mexico. Telemetry communications with the rocket allowed the control of the cameras. The pan, tilt, zoom, focus, and iris of two of the camera lenses, the power and record functions of the three cameras, and also the analog video signal that would be sent to the ground was controlled by separate microprocessors. A microprocessor was used to record data from three miniature accelerometers, temperature sensors and a differential pressure sensor. In addition to the selected video signal sent to the ground and recorded there, the video signals from the three cameras also were recorded on board the rocket. These recorders were mounted inside the pressurized segment of the rocket payload. The lenses, lens control mechanisms, and the three small television cameras were located in a portion of the rocket payload that was exposed to the vacuum of space. The accelerometers were also exposed to the vacuum of space

Real-time vehicle matching for multi-camera tunnel surveillance

Science.gov (United States)

Jelača, Vedran; Niño Castañeda, Jorge Oswaldo; Frías-Velázquez, Andrés; Pižurica, Aleksandra; Philips, Wilfried

2011-03-01

Tracking multiple vehicles with multiple cameras is a challenging problem of great importance in tunnel surveillance. One of the main challenges is accurate vehicle matching across the cameras with non-overlapping fields of view. Since systems dedicated to this task can contain hundreds of cameras which observe dozens of vehicles each, for a real-time performance computational efficiency is essential. In this paper, we propose a low complexity, yet highly accurate method for vehicle matching using vehicle signatures composed of Radon transform like projection profiles of the vehicle image. The proposed signatures can be calculated by a simple scan-line algorithm, by the camera software itself and transmitted to the central server or to the other cameras in a smart camera environment. The amount of data is drastically reduced compared to the whole image, which relaxes the data link capacity requirements. Experiments on real vehicle images, extracted from video sequences recorded in a tunnel by two distant security cameras, validate our approach.

Medical surveillance of occupationally exposed workers

International Nuclear Information System (INIS)

2007-05-01

The guide covers medical surveillance of workers engaged in radiation work and their fitness for this work, protection of the foetus and infant during the worker's pregnancy or breastfeeding, and medical surveillance measures to be taken when the dose limit has been exceeded. The guide also covers recognition of practitioners responsible for medical surveillance of category A workers, medical certificates to be issued to workers, and preservation and transfer of medical records. The medical surveillance requirements specified in this Guide cover the use of radiation and nuclear energy. The guide also applies to exposure to natural radiation in accordance with section 28 of the Finnish Radiation Decree

Medical surveillance of occupationally exposed workers

Energy Technology Data Exchange (ETDEWEB)

2007-05-15

The guide covers medical surveillance of workers engaged in radiation work and their fitness for this work, protection of the foetus and infant during the worker's pregnancy or breastfeeding, and medical surveillance measures to be taken when the dose limit has been exceeded. The guide also covers recognition of practitioners responsible for medical surveillance of category A workers, medical certificates to be issued to workers, and preservation and transfer of medical records. The medical surveillance requirements specified in this Guide cover the use of radiation and nuclear energy. The guide also applies to exposure to natural radiation in accordance with section 28 of the Finnish Radiation Decree

Segmentation of sows in farrowing pens

DEFF Research Database (Denmark)

Tu, Gang Jun; Karstoft, Henrik; Pedersen, Lene Juul

2014-01-01

The correct segmentation of a foreground object in video recordings is an important task for many surveillance systems. The development of an effective and practical algorithm to segment sows in grayscale video recordings captured under commercial production conditions is described...

Talking Video in 'Everyday Life'

DEFF Research Database (Denmark)

McIlvenny, Paul

For better or worse, video technologies have made their way into many domains of social life, for example in the domain of therapeutics. Techniques such as Marte Meo, Video Interaction Guidance (ViG), Video-Enhanced Reflection on Communication, Video Home Training and Video intervention....../prevention (VIP) all promote the use of video as a therapeutic tool. This paper focuses on media therapeutics and the various in situ uses of video technologies in the mass media for therapeutic purposes. Reality TV parenting programmes such as Supernanny, Little Angels, The House of Tiny Tearaways, Honey, We...... observation and instruction (directives) relayed across different spaces; 2) the use of recorded video by participants to visualise, spatialise and localise talk and action that is distant in time and/or space; 3) the translating, stretching and cutting of social experience in and through the situated use...

An efficient approach for surveillance of childhood diabetes by type derived from electronic health record data: the SEARCH for Diabetes in Youth Study

Science.gov (United States)

Zhong, Victor W; Obeid, Jihad S; Craig, Jean B; Pfaff, Emily R; Thomas, Joan; Jaacks, Lindsay M; Beavers, Daniel P; Carey, Timothy S; Lawrence, Jean M; Dabelea, Dana; Hamman, Richard F; Bowlby, Deborah A; Pihoker, Catherine; Saydah, Sharon H

2016-01-01

Objective To develop an efficient surveillance approach for childhood diabetes by type across 2 large US health care systems, using phenotyping algorithms derived from electronic health record (EHR) data. Materials and Methods Presumptive diabetes cases diabetes-related billing codes, patient problem list, and outpatient anti-diabetic medications. EHRs of all the presumptive cases were manually reviewed, and true diabetes status and diabetes type were determined. Algorithms for identifying diabetes cases overall and classifying diabetes type were either prespecified or derived from classification and regression tree analysis. Surveillance approach was developed based on the best algorithms identified. Results We developed a stepwise surveillance approach using billing code–based prespecified algorithms and targeted manual EHR review, which efficiently and accurately ascertained and classified diabetes cases by type, in both health care systems. The sensitivity and positive predictive values in both systems were approximately ≥90% for ascertaining diabetes cases overall and classifying cases with type 1 or type 2 diabetes. About 80% of the cases with “other” type were also correctly classified. This stepwise surveillance approach resulted in a >70% reduction in the number of cases requiring manual validation compared to traditional surveillance methods. Conclusion EHR data may be used to establish an efficient approach for large-scale surveillance for childhood diabetes by type, although some manual effort is still needed. PMID:27107449

LASCO: a performance assessment and training laboratory for containment and surveillance techniques

International Nuclear Information System (INIS)

Cuypers, M.; Landat, D.

1991-01-01

The use of Containment and Surveillance (C/S) techniques for the implementation of nuclear safeguards has increased substantially in recent years. Sealing and identification systems are used on a large scale and video surveillance is replacing gradually film camera systems. Furthermore many C/S systems are operated in an unattended mode. In order to evaluate the performances and assurance which can be obtained from C/S systems, JRC has installed a laboratory, called LaSCo, for testing C/S components and systems, simulating, where possible, field conditions. This laboratory includes facilities for training inspectors, for instance for reviewing aid of video pictures, use of integrated multisensor systems, evaluation of ultrasonic sealing methods. Several years ago, JRC installed a performance laboratory for NDA, called PERLA, which is now extensively used. LaSCo is expected to play the same role as PERLA but in the field of Containment and Surveillance and by extension to non nuclear measurements (e.g. Weighing, volume determinations). The newly built facilities and the first experimental lay-out of LaSCo are described. It is expected that industry and inspectors will make extensive use of LaSCo

Radiation-Triggered Surveillance for UF6 Monitoring

Energy Technology Data Exchange (ETDEWEB)

Curtis, Michael M. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

2015-12-01

This paper recommends the use of radiation detectors, singly or in sets, to trigger surveillance cameras. Ideally, the cameras will monitor cylinders transiting the process area as well as the process area itself. The general process area will be surveyed to record how many cylinders have been attached and detached to the process between inspections. Rad-triggered cameras can dramatically reduce the quantity of recorded images, because the movement of personnel and equipment not involving UF6 cylinders will not generate a surveillance review file.

Use of emergency department electronic medical records for automated epidemiological surveillance of suicide attempts: a French pilot study.

Science.gov (United States)

Metzger, Marie-Hélène; Tvardik, Nastassia; Gicquel, Quentin; Bouvry, Côme; Poulet, Emmanuel; Potinet-Pagliaroli, Véronique

2017-06-01

The aim of this study was to determine whether an expert system based on automated processing of electronic health records (EHRs) could provide a more accurate estimate of the annual rate of emergency department (ED) visits for suicide attempts in France, as compared to the current national surveillance system based on manual coding by emergency practitioners. A feasibility study was conducted at Lyon University Hospital, using data for all ED patient visits in 2012. After automatic data extraction and pre-processing, including automatic coding of medical free-text through use of the Unified Medical Language System, seven different machine-learning methods were used to classify the reasons for ED visits into "suicide attempts" versus "other reasons". The performance of these different methods was compared by using the F-measure. In a test sample of 444 patients admitted to the ED in 2012 (98 suicide attempts, 48 cases of suicidal ideation, and 292 controls with no recorded non-fatal suicidal behaviour), the F-measure for automatic detection of suicide attempts ranged from 70.4% to 95.3%. The random forest and naïve Bayes methods performed best. This study demonstrates that machine-learning methods can improve the quality of epidemiological indicators as compared to current national surveillance of suicide attempts. Copyright © 2016 John Wiley & Sons, Ltd.

A Taxonomy of Asynchronous Instructional Video Styles

Science.gov (United States)

Chorianopoulos, Konstantinos

2018-01-01

Many educational organizations are employing instructional videos in their pedagogy, but there is a limited understanding of the possible video formats. In practice, the presentation format of instructional videos ranges from direct recording of classroom teaching with a stationary camera, or screencasts with voiceover, to highly elaborate video…

Video as a Medium for Learning and Teaching

CERN Document Server

CERN. Geneva

2017-01-01

Videos play an important role in today's digital era. According to Cisco®, video (business and consumer combined) was  59% of the total Internet traffic in 2014. Video is permeating our educational institutions, transforming the way we teach, learn, study, communicate and work (Kaltura Report 2015). But are videos always the best choice? In this lecture we examine the benefits of the use of video in learning as well as its limits.Tips on how to minimize those limits will be explained.Example short videos that demonstrate success (or not) stories will be shown.Finally, guidelines for making good videos for education will be given. NB! All Academic Training lectures are recorded but not webcasted. The recording will be linked from this event and the CDS Academic Training collection. Participation is free. No registration needed. Bio: Pedro de Freitas has realized a MSc in learning & teaching technologies and MSc in Psychology in the University of Geneva. His thesis subject ...

Collaborative Video Sketching

DEFF Research Database (Denmark)

Henningsen, Birgitte; Gundersen, Peter Bukovica; Hautopp, Heidi

2017-01-01

This paper introduces to what we define as a collaborative video sketching process. This process links various sketching techniques with digital storytelling approaches and creative reflection processes in video productions. Traditionally, sketching has been used by designers across various...... findings: 1) They are based on a collaborative approach. 2) The sketches act as a mean to externalizing hypotheses and assumptions among the participants. Based on our analysis we present an overview of factors involved in collaborative video sketching and shows how the factors relate to steps, where...... the participants: shape, record, review and edit their work, leading the participants to new insights about their work....

The Learning Potential of Video Sketching

DEFF Research Database (Denmark)

Gundersen, Peter Bukovica; Ørngreen, Rikke; Hautopp, Heidi

2017-01-01

, designers across various disciplines have used sketching as an integrative part of their everyday practice, and sketching has proven to have a multitude of purposes in professional design. The purpose of this paper is to explore what happens when an extra layer of video recording is added during the early...... a new one or another is rejected. Also, video can make participants very and even too self-aware, though in explanatory and persuasive sessions, this may support participants to use more precise and explicit language. Based on these experiments, four different steps of collaborative video sketching have...... been identified: shaping, recording, viewing and editing. Combined with the different modes, these steps constitute the basis of our video sketching framework. This framework has been used as a tool for redesigning learning activities. It suggests new scenarios to include in future research using...

Evaluation of two surveillance methods for surgical site infection

Directory of Open Access Journals (Sweden)

M. Haji Abdolbaghi

2006-08-01

Full Text Available Background: Surgical wound infection surveillance is an important facet of hospital infection control processes. There are several surveillance methods for surgical site infections. The objective of this study is to evaluate the accuracy of two different surgical site infection surveillance methods. Methods: In this prospective cross sectional study 3020 undergoing surgey in general surgical wards of Imam Khomeini hospital were included. Surveillance methods consisted of review of medical records for postoperative fever and review of nursing daily note for prescription of antibiotics postoperatively and during patient’s discharge. Review of patient’s history and daily records and interview with patient’s surgeon and the head-nurse of the ward considered as a gold standard for surveillance. Results: The postoperative antibiotic consumption especially when considering its duration is a proper method for surgical wound infection surveillance. Accomplishments of a prospective study with postdischarge follow up until 30 days after surgery is recommended. Conclusion: The result of this study showed that postoperative antibiotic surveillance method specially with consideration of the antibiotic usage duration is a proper method for surgical site infection surveillance in general surgery wards. Accomplishments of a prospective study with post discharge follow up until 30 days after surgery is recommended.

Virtual displays for 360-degree video

Science.gov (United States)

Gilbert, Stephen; Boonsuk, Wutthigrai; Kelly, Jonathan W.

2012-03-01

In this paper we describe a novel approach for comparing users' spatial cognition when using different depictions of 360- degree video on a traditional 2D display. By using virtual cameras within a game engine and texture mapping of these camera feeds to an arbitrary shape, we were able to offer users a 360-degree interface composed of four 90-degree views, two 180-degree views, or one 360-degree view of the same interactive environment. An example experiment is described using these interfaces. This technique for creating alternative displays of wide-angle video facilitates the exploration of how compressed or fish-eye distortions affect spatial perception of the environment and can benefit the creation of interfaces for surveillance and remote system teleoperation.

Spatial patterns of recorded mastitis incidence and somatic cell counts in Swedish dairy cows: implications for surveillance

Directory of Open Access Journals (Sweden)

Cecilia Wolff

2011-11-01

Full Text Available Clinical mastitis (CM is the most common veterinary treated disease in Swedish dairy cattle. To investigate if the distribution of veterinary registered cases of CM in Sweden follows that of the spatial distribution of cows with high somatic cell counts (SCCs, the spatial distribution of CM odds was estimated from available records and compared with udder health measures based on measurements of SCC derived from official milk recording. The study revealed areas with significantly lower odds for CM but with a high proportion of cows with a poor udder health score, suggesting an under-reporting of CM. We also found areas of significantly higher odds for CM despite a low proportion of cows with a poor udder health score, suggestive of over-treatment of mastitis. The results should enable targeted studies of reasons for discrepancies, e.g. farmers’ and veterinarians’ attitudes to mastitis treatment and disease recording in areas with a deficit or excess of registered CM cases. High quality disease records for dairy cattle are of interest not only for the dairy management but also for disease surveillance, monitoring of use of antibiotics and food safety purposes.

Spatial patterns of recorded mastitis incidence and somatic cell counts in Swedish dairy cows: implications for surveillance.

Science.gov (United States)

Wolff, Cecilia; Stevenson, Mark; Emanuelson, Ulf; Egenvall, Agneta; Lindberg, Ann

2011-11-01

Clinical mastitis (CM) is the most common veterinary treated disease in Swedish dairy cattle. To investigate if the distribution of veterinary registered cases of CM in Sweden follows that of the spatial distribution of cows with high somatic cell counts (SCCs), the spatial distribution of CM odds was estimated from available records and compared with udder health measures based on measurements of SCC derived from official milk recording. The study revealed areas with significantly lower odds for CM but with a high proportion of cows with a poor udder health score, suggesting an under-reporting of CM. We also found areas of significantly higher odds for CM despite a low proportion of cows with a poor udder health score, suggestive of over-treatment of mastitis. The results should enable targeted studies of reasons for discrepancies, e.g. farmers' and veterinarians' attitudes to mastitis treatment and disease recording in areas with a deficit or excess of registered CM cases. High quality disease records for dairy cattle are of interest not only for the dairy management but also for disease surveillance, monitoring of use of antibiotics and food safety purposes.

New operator's console recorder

International Nuclear Information System (INIS)

Anon.

2009-01-01

This article described a software module that automatically records images being shown on multiple HMI or SCADA operator's displays. Videos used for monitoring activities at industrial plants can be combined with the operator console videos and data from a process historian. This enables engineers, analysts or investigators to see what is occurring in the plant, what the operator is seeing on the HMI screen, and all relevant real-time data from an event. In the case of a leak at a pumping station, investigators could watch plant video taken at a remote site showing fuel oil creeping across the floor, real-time data being acquired from pumps, valves and the receiving tank while the leak is occurring. The video shows the operator's HMI screen as well as the alarm screen that signifies the leak detection. The Longwatch Operator's Console Recorder and Video Historian are used together to acquire data about actual plant plant management because they show everything that happens during an event. The Console Recorder automatically retrieves and replays operator displays by clicking on a time-based alarm or system message. Play back of video feed is a valuable tool for training and analysis purposes, and can help mitigate insurance and regulatory issues by eliminating uncertainty and conjecture. 1 fig.

Testing of mobile surveillance robot at a nuclear power plant

International Nuclear Information System (INIS)

White, J.R.; Harvey, H.W.; Farnstrom, K.A.

1987-01-01

In-plant testing of a mobile surveillance robot (SURBOT) was performed at the Browns Ferry Nuclear Plant by TVA personnel. The results verified that SURBOT can be used for remote surveillance in 54 separate controlled radiation rooms at the plant. High-quality color video, audio, and other data are collected, digitized by an on-board computer, and transmitted through a cable to the control console for real-time display and videotaping. TVA projects that the use of SURBOT for surveillance during plant operation will produce annual savings of about 100 person-rem radiation exposure and $200,000 in operating costs. Based on the successful results of this program, REMOTEC is now commercializing the SURBOT technology on both wheeled and tracked mobile robots for use in nuclear power plants and other hazardous environments

The Simple Video Coder: A free tool for efficiently coding social video data.

Science.gov (United States)

Barto, Daniel; Bird, Clark W; Hamilton, Derek A; Fink, Brandi C

2017-08-01

Videotaping of experimental sessions is a common practice across many disciplines of psychology, ranging from clinical therapy, to developmental science, to animal research. Audio-visual data are a rich source of information that can be easily recorded; however, analysis of the recordings presents a major obstacle to project completion. Coding behavior is time-consuming and often requires ad-hoc training of a student coder. In addition, existing software is either prohibitively expensive or cumbersome, which leaves researchers with inadequate tools to quickly process video data. We offer the Simple Video Coder-free, open-source software for behavior coding that is flexible in accommodating different experimental designs, is intuitive for students to use, and produces outcome measures of event timing, frequency, and duration. Finally, the software also offers extraction tools to splice video into coded segments suitable for training future human coders or for use as input for pattern classification algorithms.

Application of digital compression techniques to optical surveillance systems

International Nuclear Information System (INIS)

Johnson, C.S.

1991-01-01

There are many benefits to handling video images electronically, however, the amount of digital data in a normal video image is a major obstacle. The solution is to remove the high frequency and redundant information in a process that is referred to as compression. Compression allows the number of digital bits required for a given image to be reduced for more efficient storage or transmission of images. The next question is how much compression can be done without impairing the image quality beyond its usefulness for a given application. This paper discusses image compression that might be applied to provide useful images in unattended nuclear facility surveillance applications

Final Report for LDRD Project 02-FS-009 Gigapixel Surveillance Camera

Energy Technology Data Exchange (ETDEWEB)

Marrs, R E; Bennett, C L

2010-04-20

The threats of terrorism and proliferation of weapons of mass destruction add urgency to the development of new techniques for surveillance and intelligence collection. For example, the United States faces a serious and growing threat from adversaries who locate key facilities underground, hide them within other facilities, or otherwise conceal their location and function. Reconnaissance photographs are one of the most important tools for uncovering the capabilities of adversaries. However, current imaging technology provides only infrequent static images of a large area, or occasional video of a small area. We are attempting to add a new dimension to reconnaissance by introducing a capability for large area video surveillance. This capability would enable tracking of all vehicle movements within a very large area. The goal of our project is the development of a gigapixel video surveillance camera for high altitude aircraft or balloon platforms. From very high altitude platforms (20-40 km altitude) it would be possible to track every moving vehicle within an area of roughly 100 km x 100 km, about the size of the San Francisco Bay region, with a gigapixel camera. Reliable tracking of vehicles requires a ground sampling distance (GSD) of 0.5 to 1 m and a framing rate of approximately two frames per second (fps). For a 100 km x 100 km area the corresponding pixel count is 10 gigapixels for a 1-m GSD and 40 gigapixels for a 0.5-m GSD. This is an order of magnitude beyond the 1 gigapixel camera envisioned in our LDRD proposal. We have determined that an instrument of this capacity is feasible.

The role of optical flow in automated quality assessment of full-motion video

Science.gov (United States)

Harguess, Josh; Shafer, Scott; Marez, Diego

2017-09-01

In real-world video data, such as full-motion-video (FMV) taken from unmanned vehicles, surveillance systems, and other sources, various corruptions to the raw data is inevitable. This can be due to the image acquisition process, noise, distortion, and compression artifacts, among other sources of error. However, we desire methods to analyze the quality of the video to determine whether the underlying content of the corrupted video can be analyzed by humans or machines and to what extent. Previous approaches have shown that motion estimation, or optical flow, can be an important cue in automating this video quality assessment. However, there are many different optical flow algorithms in the literature, each with their own advantages and disadvantages. We examine the effect of the choice of optical flow algorithm (including baseline and state-of-the-art), on motionbased automated video quality assessment algorithms.

Clinical Relation Extraction Toward Drug Safety Surveillance Using Electronic Health Record Narratives: Classical Learning Versus Deep Learning.

Science.gov (United States)

Munkhdalai, Tsendsuren; Liu, Feifan; Yu, Hong

2018-04-25

Medication and adverse drug event (ADE) information extracted from electronic health record (EHR) notes can be a rich resource for drug safety surveillance. Existing observational studies have mainly relied on structured EHR data to obtain ADE information; however, ADEs are often buried in the EHR narratives and not recorded in structured data. To unlock ADE-related information from EHR narratives, there is a need to extract relevant entities and identify relations among them. In this study, we focus on relation identification. This study aimed to evaluate natural language processing and machine learning approaches using the expert-annotated medical entities and relations in the context of drug safety surveillance, and investigate how different learning approaches perform under different configurations. We have manually annotated 791 EHR notes with 9 named entities (eg, medication, indication, severity, and ADEs) and 7 different types of relations (eg, medication-dosage, medication-ADE, and severity-ADE). Then, we explored 3 supervised machine learning systems for relation identification: (1) a support vector machines (SVM) system, (2) an end-to-end deep neural network system, and (3) a supervised descriptive rule induction baseline system. For the neural network system, we exploited the state-of-the-art recurrent neural network (RNN) and attention models. We report the performance by macro-averaged precision, recall, and F1-score across the relation types. Our results show that the SVM model achieved the best average F1-score of 89.1% on test data, outperforming the long short-term memory (LSTM) model with attention (F1-score of 65.72%) as well as the rule induction baseline system (F1-score of 7.47%) by a large margin. The bidirectional LSTM model with attention achieved the best performance among different RNN models. With the inclusion of additional features in the LSTM model, its performance can be boosted to an average F1-score of 77.35%. It shows that

Using video-based observation research methods in primary care health encounters to evaluate complex interactions.

Science.gov (United States)

Asan, Onur; Montague, Enid

2014-01-01

The purpose of this paper is to describe the use of video-based observation research methods in primary care environment and highlight important methodological considerations and provide practical guidance for primary care and human factors researchers conducting video studies to understand patient-clinician interaction in primary care settings. We reviewed studies in the literature which used video methods in health care research, and we also used our own experience based on the video studies we conducted in primary care settings. This paper highlighted the benefits of using video techniques, such as multi-channel recording and video coding, and compared "unmanned" video recording with the traditional observation method in primary care research. We proposed a list that can be followed step by step to conduct an effective video study in a primary care setting for a given problem. This paper also described obstacles, researchers should anticipate when using video recording methods in future studies. With the new technological improvements, video-based observation research is becoming a promising method in primary care and HFE research. Video recording has been under-utilised as a data collection tool because of confidentiality and privacy issues. However, it has many benefits as opposed to traditional observations, and recent studies using video recording methods have introduced new research areas and approaches.

Digital Video as Research Practice: Methodology for the Millennium

Science.gov (United States)

Shrum, Wesley; Duque, Ricardo; Brown, Timothy

2005-01-01

This essay has its origin in a project on the globalization of science that rediscovered the wisdom of past research practices through the technology of the future. The main argument of this essay is that a convergence of digital video technologies with practices of social surveillance portends a methodological shift towards a new variety of…

Relating pressure measurements to phenomena observed in high speed video recordings during tests of explosive charges in a semi-confined blast chamber

CSIR Research Space (South Africa)

Mostert, FJ

2012-09-01

Full Text Available initiation of the charge. It was observed in the video recordings that the detonation product cloud exhibited pulsating behaviour due to the reflected shocks in the chamber analogous to the behaviour of the gas bubble in underwater explosions. This behaviour...

Joint denoising, demosaicing, and chromatic aberration correction for UHD video

Science.gov (United States)

Jovanov, Ljubomir; Philips, Wilfried; Damstra, Klaas Jan; Ellenbroek, Frank

2017-09-01

High-resolution video capture is crucial for numerous applications such as surveillance, security, industrial inspection, medical imaging and digital entertainment. In the last two decades, we are witnessing a dramatic increase of the spatial resolution and the maximal frame rate of video capturing devices. In order to achieve further resolution increase, numerous challenges will be facing us. Due to the reduced size of the pixel, the amount of light also reduces, leading to the increased noise level. Moreover, the reduced pixel size makes the lens imprecisions more pronounced, which especially applies to chromatic aberrations. Even in the case when high quality lenses are used some chromatic aberration artefacts will remain. Next, noise level additionally increases due to the higher frame rates. To reduce the complexity and the price of the camera, one sensor captures all three colors, by relying on Color Filter Arrays. In order to obtain full resolution color image, missing color components have to be interpolated, i.e. demosaicked, which is more challenging than in the case of lower resolution, due to the increased noise and aberrations. In this paper, we propose a new method, which jointly performs chromatic aberration correction, denoising and demosaicking. By jointly performing the reduction of all artefacts, we are reducing the overall complexity of the system and the introduction of new artefacts. In order to reduce possible flicker we also perform temporal video enhancement. We evaluate the proposed method on a number of publicly available UHD sequences and on sequences recorded in our studio.

Video elicitation interviews: a qualitative research method for investigating physician-patient interactions.

Science.gov (United States)

Henry, Stephen G; Fetters, Michael D

2012-01-01

We describe the concept and method of video elicitation interviews and provide practical guidance for primary care researchers who want to use this qualitative method to investigate physician-patient interactions. During video elicitation interviews, researchers interview patients or physicians about a recent clinical interaction using a video recording of that interaction as an elicitation tool. Video elicitation is useful because it allows researchers to integrate data about the content of physician-patient interactions gained from video recordings with data about participants' associated thoughts, beliefs, and emotions gained from elicitation interviews. This method also facilitates investigation of specific events or moments during interactions. Video elicitation interviews are logistically demanding and time consuming, and they should be reserved for research questions that cannot be fully addressed using either standard interviews or video recordings in isolation. As many components of primary care fall into this category, high-quality video elicitation interviews can be an important method for understanding and improving physician-patient interactions in primary care.

Video Elicitation Interviews: A Qualitative Research Method for Investigating Physician-Patient Interactions

Science.gov (United States)

Henry, Stephen G.; Fetters, Michael D.

2012-01-01

We describe the concept and method of video elicitation interviews and provide practical guidance for primary care researchers who want to use this qualitative method to investigate physician-patient interactions. During video elicitation interviews, researchers interview patients or physicians about a recent clinical interaction using a video recording of that interaction as an elicitation tool. Video elicitation is useful because it allows researchers to integrate data about the content of physician-patient interactions gained from video recordings with data about participants’ associated thoughts, beliefs, and emotions gained from elicitation interviews. This method also facilitates investigation of specific events or moments during interactions. Video elicitation interviews are logistically demanding and time consuming, and they should be reserved for research questions that cannot be fully addressed using either standard interviews or video recordings in isolation. As many components of primary care fall into this category, high-quality video elicitation interviews can be an important method for understanding and improving physician-patient interactions in primary care. PMID:22412003

Distributed data processing for public health surveillance

Directory of Open Access Journals (Sweden)

Yih Katherine

2006-09-01

Full Text Available Abstract Background Many systems for routine public health surveillance rely on centralized collection of potentially identifiable, individual, identifiable personal health information (PHI records. Although individual, identifiable patient records are essential for conditions for which there is mandated reporting, such as tuberculosis or sexually transmitted diseases, they are not routinely required for effective syndromic surveillance. Public concern about the routine collection of large quantities of PHI to support non-traditional public health functions may make alternative surveillance methods that do not rely on centralized identifiable PHI databases increasingly desirable. Methods The National Bioterrorism Syndromic Surveillance Demonstration Program (NDP is an example of one alternative model. All PHI in this system is initially processed within the secured infrastructure of the health care provider that collects and holds the data, using uniform software distributed and supported by the NDP. Only highly aggregated count data is transferred to the datacenter for statistical processing and display. Results Detailed, patient level information is readily available to the health care provider to elucidate signals observed in the aggregated data, or for ad hoc queries. We briefly describe the benefits and disadvantages associated with this distributed processing model for routine automated syndromic surveillance. Conclusion For well-defined surveillance requirements, the model can be successfully deployed with very low risk of inadvertent disclosure of PHI – a feature that may make participation in surveillance systems more feasible for organizations and more appealing to the individuals whose PHI they hold. It is possible to design and implement distributed systems to support non-routine public health needs if required.

Object tracking using multiple camera video streams

Science.gov (United States)

Mehrubeoglu, Mehrube; Rojas, Diego; McLauchlan, Lifford

2010-05-01

Two synchronized cameras are utilized to obtain independent video streams to detect moving objects from two different viewing angles. The video frames are directly correlated in time. Moving objects in image frames from the two cameras are identified and tagged for tracking. One advantage of such a system involves overcoming effects of occlusions that could result in an object in partial or full view in one camera, when the same object is fully visible in another camera. Object registration is achieved by determining the location of common features in the moving object across simultaneous frames. Perspective differences are adjusted. Combining information from images from multiple cameras increases robustness of the tracking process. Motion tracking is achieved by determining anomalies caused by the objects' movement across frames in time in each and the combined video information. The path of each object is determined heuristically. Accuracy of detection is dependent on the speed of the object as well as variations in direction of motion. Fast cameras increase accuracy but limit the speed and complexity of the algorithm. Such an imaging system has applications in traffic analysis, surveillance and security, as well as object modeling from multi-view images. The system can easily be expanded by increasing the number of cameras such that there is an overlap between the scenes from at least two cameras in proximity. An object can then be tracked long distances or across multiple cameras continuously, applicable, for example, in wireless sensor networks for surveillance or navigation.

First year midwifery students' experience with self-recorded and assessed video of selected midwifery practice skills at Otago Polytechnic in New Zealand.

Science.gov (United States)

McIntosh, Carolyn; Patterson, Jean; Miller, Suzanne

2018-01-01

Studying undergraduate midwifery at a distance has advantages in terms of accessibility and community support but presents challenges for practice based competence assessment. Student -recorded videos provide opportunities for completing the assigned skills, self-reflection, and assessment by a lecturer. This research asked how midwifery students experienced the process of completing the Video Assessment of Midwifery Practice Skills (VAMPS) in 2014 and 2015. The aim of the survey was to identify the benefits and challenges of the VAMPS assessment and to identify opportunities for improvement from the students' perspective. All students who had participated in the VAMPS assessment during 2014 and 2015 were invited to complete an online survey. To maintain confidentiality for the students, the Qualtrics survey was administered and the data downloaded by the Organisational Research Officer. Ethical approval was granted by the organisational ethics committee. Descriptive statistics were generated and students' comments were collated. The VAMPS provided an accessible option for the competence assessment and the opportunity for self-reflection and re-recording to perfect their skill which the students appreciated. The main challenges related to the technical aspects of recording and uploading the assessment. This study highlighted some of the benefits and challenges experienced by the midwifery students and showed that practice skills can be successfully assessed at distance. The additional benefit of accessibility afforded by video assessment is a new and unique finding for undergraduate midwifery education and may resonate with other educators seeking ways to assess similar skill sets with cohorts of students studying at distance. Copyright © 2017 Elsevier Ltd. All rights reserved.

Integration of Transport-relevant Data within Image Record of the Surveillance System

Directory of Open Access Journals (Sweden)

Adam Stančić

2016-10-01

Full Text Available Integration of the collected information on the road within the image recorded by the surveillance system forms a unified source of transport-relevant data about the supervised situation. The basic assumption is that the procedure of integration changes the image to the extent that is invisible to the human eye, and the integrated data keep identical content. This assumption has been proven by studying the statistical properties of the image and integrated data using mathematical model modelled in the programming language Python using the combinations of the functions of additional libraries (OpenCV, NumPy, SciPy and Matplotlib. The model has been used to compare the input methods of meta-data and methods of steganographic integration by correcting the coefficients of Discrete Cosine Transform JPEG compressed image. For the procedures of steganographic data processing the steganographic algorithm F5 was used. The review paper analyses the advantages and drawbacks of the integration methods and present the examples of situations in traffic in which the formed unified sources of transport-relevant information could be used.

Features for detecting smoke in laparoscopic videos

Directory of Open Access Journals (Sweden)

Jalal Nour Aldeen

2017-09-01

Full Text Available Video-based smoke detection in laparoscopic surgery has different potential applications, such as the automatic addressing of surgical events associated with the electrocauterization task and the development of automatic smoke removal. In the literature, video-based smoke detection has been studied widely for fire surveillance systems. Nevertheless, the proposed methods are insufficient for smoke detection in laparoscopic videos because they often depend on assumptions which rarely hold in laparoscopic surgery such as static camera. In this paper, ten visual features based on motion, texture and colour of smoke are proposed and evaluated for smoke detection in laparoscopic videos. These features are RGB channels, energy-based feature, texture features based on gray level co-occurrence matrix (GLCM, HSV colour space feature, features based on the detection of moving regions using optical flow and the smoke colour in HSV colour space. These features were tested on four laparoscopic cholecystectomy videos. Experimental observations show that each feature can provide valuable information in performing the smoke detection task. However, each feature has weaknesses to detect the presence of smoke in some cases. By combining all proposed features smoke with high and even low density can be identified robustly and the classification accuracy increases significantly.

Low complexity video encoding for UAV inspection

DEFF Research Database (Denmark)

Søgaard, Jacob; Zhang, Ruo; Forchhammer, Søren

2016-01-01

In this work we present several methods for fast integer motion estimation of videos recorded aboard an Unmanned Aerial Vehicle (UAV). Different from related work, the field depth is not considered to be consistent. The novel methods designed for low complexity MV prediction in H.264/AVC and anal......In this work we present several methods for fast integer motion estimation of videos recorded aboard an Unmanned Aerial Vehicle (UAV). Different from related work, the field depth is not considered to be consistent. The novel methods designed for low complexity MV prediction in H.264/AVC...... for UAV infrared (IR) video are also provided....

Make your own video with ActivePresenter

CERN Document Server

CERN. Geneva

2016-01-01

A step-by-step video tutorial on how to use ActivePresenter, a screen recording tool for Windows and Mac. The installation step is not needed for CERN users, as the product is already made available. This tutorial explains how to install ActivePresenter, how to do a screen recording and edit a video using ActivePresenter and finally how to exports the end product. Tell us what you think about this or any other video in this category via e-learning.support at cern.ch All info about the CERN rapid e-learning project is linked from http://twiki.cern.ch/ELearning  

Reliable assessment of general surgeons' non-technical skills based on video-recordings of patient simulated scenarios.

Science.gov (United States)

Spanager, Lene; Beier-Holgersen, Randi; Dieckmann, Peter; Konge, Lars; Rosenberg, Jacob; Oestergaard, Doris

2013-11-01

Nontechnical skills are essential for safe and efficient surgery. The aim of this study was to evaluate the reliability of an assessment tool for surgeons' nontechnical skills, Non-Technical Skills for Surgeons dk (NOTSSdk), and the effect of rater training. A 1-day course was conducted for 15 general surgeons in which they rated surgeons' nontechnical skills in 9 video recordings of scenarios simulating real intraoperative situations. Data were gathered from 2 sessions separated by a 4-hour training session. Interrater reliability was high for both pretraining ratings (Cronbach's α = .97) and posttraining ratings (Cronbach's α = .98). There was no statistically significant development in assessment skills. The D study showed that 2 untrained raters or 1 trained rater was needed to obtain generalizability coefficients >.80. The high pretraining interrater reliability indicates that videos were easy to rate and Non-Technical Skills for Surgeons dk easy to use. This implies that Non-Technical Skills for Surgeons dk (NOTSSdk) could be an important tool in surgical training, potentially improving safety and quality for surgical patients. Copyright © 2013 Elsevier Inc. All rights reserved.

GPU-Accelerated Real-Time Surveillance De-Weathering

OpenAIRE

Pettersson, Niklas

2013-01-01

A fully automatic de-weathering system to increase the visibility/stability in surveillance applications during bad weather has been developed. Rain, snow and haze during daylight are handled in real-time performance with acceleration from CUDA implemented algorithms. Video from fixed cameras is processed on a PC with no need of special hardware except an NVidia GPU. The system does not use any background model and does not require any precalibration. Increase in contrast is obtained in all h...

Deep video deblurring

KAUST Repository

Su, Shuochen

2016-11-25

Motion blur from camera shake is a major problem in videos captured by hand-held devices. Unlike single-image deblurring, video-based approaches can take advantage of the abundant information that exists across neighboring frames. As a result the best performing methods rely on aligning nearby frames. However, aligning images is a computationally expensive and fragile procedure, and methods that aggregate information must therefore be able to identify which regions have been accurately aligned and which have not, a task which requires high level scene understanding. In this work, we introduce a deep learning solution to video deblurring, where a CNN is trained end-to-end to learn how to accumulate information across frames. To train this network, we collected a dataset of real videos recorded with a high framerate camera, which we use to generate synthetic motion blur for supervision. We show that the features learned from this dataset extend to deblurring motion blur that arises due to camera shake in a wide range of videos, and compare the quality of results to a number of other baselines.

Intelligent Surveillance Robot with Obstacle Avoidance Capabilities Using Neural Network

Directory of Open Access Journals (Sweden)

Widodo Budiharto

2015-01-01

Full Text Available For specific purpose, vision-based surveillance robot that can be run autonomously and able to acquire images from its dynamic environment is very important, for example, in rescuing disaster victims in Indonesia. In this paper, we propose architecture for intelligent surveillance robot that is able to avoid obstacles using 3 ultrasonic distance sensors based on backpropagation neural network and a camera for face recognition. 2.4 GHz transmitter for transmitting video is used by the operator/user to direct the robot to the desired area. Results show the effectiveness of our method and we evaluate the performance of the system.

Examination of YouTube videos related to synthetic cannabinoids.

Science.gov (United States)

Fullwood, M Dottington; Kecojevic, Aleksandar; Basch, Corey H

2016-08-17

The popularity of synthetic cannabinoids (SCBs) is increasing the chance for adverse health issues in the United States. Moreover, social media platforms such as YouTube that provided a platform for user-generated content can convey misinformation or glorify use of SCBs. The aim of this study was to fill this gap by describing the content of the most popular YouTube videos containing content related to the SCBs. Videos with at least 1000 or more views found under the search terms "K2" and "spice" included in the analysis. The collective number of views was over 7.5 million. Nearly half of videos were consumer produced (n=42). The most common content in the videos was description of K2 (n=69), followed by mentioning dangers of using K2 (n=47), mentioning side effects (n=38) and showing a person using K2 (n=37). One-third of videos (n=34) promoted use of K2, while 22 videos mentioned risk of dying as a consequence of using K2. YouTube could be used as a surveillance tool to combat this epidemic, but instead, the most widely videos related to SCBs are uploaded by consumers. The content of these consumer videos on YouTube often provide the viewer with access to view a wide array of uploaders describing, encouraging, participating and promoting use.

A Complexity-Aware Video Adaptation Mechanism for Live Streaming Systems

Directory of Open Access Journals (Sweden)

Chen Homer H

2007-01-01

Full Text Available The paradigm shift of network design from performance-centric to constraint-centric has called for new signal processing techniques to deal with various aspects of resource-constrained communication and networking. In this paper, we consider the computational constraints of a multimedia communication system and propose a video adaptation mechanism for live video streaming of multiple channels. The video adaptation mechanism includes three salient features. First, it adjusts the computational resource of the streaming server block by block to provide a fine control of the encoding complexity. Second, as far as we know, it is the first mechanism to allocate the computational resource to multiple channels. Third, it utilizes a complexity-distortion model to determine the optimal coding parameter values to achieve global optimization. These techniques constitute the basic building blocks for a successful application of wireless and Internet video to digital home, surveillance, IPTV, and online games.

A Complexity-Aware Video Adaptation Mechanism for Live Streaming Systems

Science.gov (United States)

Lu, Meng-Ting; Yao, Jason J.; Chen, Homer H.

2007-12-01

The paradigm shift of network design from performance-centric to constraint-centric has called for new signal processing techniques to deal with various aspects of resource-constrained communication and networking. In this paper, we consider the computational constraints of a multimedia communication system and propose a video adaptation mechanism for live video streaming of multiple channels. The video adaptation mechanism includes three salient features. First, it adjusts the computational resource of the streaming server block by block to provide a fine control of the encoding complexity. Second, as far as we know, it is the first mechanism to allocate the computational resource to multiple channels. Third, it utilizes a complexity-distortion model to determine the optimal coding parameter values to achieve global optimization. These techniques constitute the basic building blocks for a successful application of wireless and Internet video to digital home, surveillance, IPTV, and online games.

Motion based parsing for video from observational psychology

Science.gov (United States)

Kokaram, Anil; Doyle, Erika; Lennon, Daire; Joyeux, Laurent; Fuller, Ray

2006-01-01

In Psychology it is common to conduct studies involving the observation of humans undertaking some task. The sessions are typically recorded on video and used for subjective visual analysis. The subjective analysis is tedious and time consuming, not only because much useless video material is recorded but also because subjective measures of human behaviour are not necessarily repeatable. This paper presents tools using content based video analysis that allow automated parsing of video from one such study involving Dyslexia. The tools rely on implicit measures of human motion that can be generalised to other applications in the domain of human observation. Results comparing quantitative assessment of human motion with subjective assessment are also presented, illustrating that the system is a useful scientific tool.

Mapping (and modeling) physiological movements during EEG-fMRI recordings: the added value of the video acquired simultaneously.

Science.gov (United States)

Ruggieri, Andrea; Vaudano, Anna Elisabetta; Benuzzi, Francesca; Serafini, Marco; Gessaroli, Giuliana; Farinelli, Valentina; Nichelli, Paolo Frigio; Meletti, Stefano

2015-01-15

During resting-state EEG-fMRI studies in epilepsy, patients' spontaneous head-face movements occur frequently. We tested the usefulness of synchronous video recording to identify and model the fMRI changes associated with non-epileptic movements to improve sensitivity and specificity of fMRI maps related to interictal epileptiform discharges (IED). Categorization of different facial/cranial movements during EEG-fMRI was obtained for 38 patients [with benign epilepsy with centro-temporal spikes (BECTS, n=16); with idiopathic generalized epilepsy (IGE, n=17); focal symptomatic/cryptogenic epilepsy (n=5)]. We compared at single subject- and at group-level the IED-related fMRI maps obtained with and without additional regressors related to spontaneous movements. As secondary aim, we considered facial movements as events of interest to test the usefulness of video information to obtain fMRI maps of the following face movements: swallowing, mouth-tongue movements, and blinking. Video information substantially improved the identification and classification of the artifacts with respect to the EEG observation alone (mean gain of 28 events per exam). Inclusion of physiological activities as additional regressors in the GLM model demonstrated an increased Z-score and number of voxels of the global maxima and/or new BOLD clusters in around three quarters of the patients. Video-related fMRI maps for swallowing, mouth-tongue movements, and blinking were comparable to the ones obtained in previous task-based fMRI studies. Video acquisition during EEG-fMRI is a useful source of information. Modeling physiological movements in EEG-fMRI studies for epilepsy will lead to more informative IED-related fMRI maps in different epileptic conditions. Copyright © 2014 Elsevier B.V. All rights reserved.

People detection in nuclear plants by video processing for safety purpose

Energy Technology Data Exchange (ETDEWEB)

Jorge, Carlos Alexandre F.; Mol, Antonio Carlos A., E-mail: calexandre@ien.gov.b, E-mail: mol@ien.gov.b [Instituto de Engenharia Nuclear (IEN/CNEN), Rio de Janeiro, RJ (Brazil); Seixas, Jose M.; Silva, Eduardo Antonio B., E-mail: seixas@lps.ufrj.b, E-mail: eduardo@lps.ufrj.b [Coordenacao dos Programas de Pos-Graduacao de Engenharia (COPPE/UFRJ), Rio de Janeiro, RJ (Brazil). Programa de Engenharia Eletrica; Cota, Raphael E.; Ramos, Bruno L., E-mail: brunolange@poli.ufrj.b [Universidade Federal do Rio de Janeiro (EP/UFRJ), RJ (Brazil). Dept. de Engenharia Eletronica e de Computacao

2011-07-01

This work describes the development of a surveillance system for safety purposes in nuclear plants. The final objective is to track people online in videos, in order to estimate the dose received by personnel, during the execution of working tasks in nuclear plants. The estimation will be based on their tracked positions and on dose rate mapping in a real nuclear plant at Instituto de Engenharia Nuclear, Argonauta nuclear research reactor. Cameras have been installed within Argonauta's room, supplying the data needed. Both video processing and statistical signal processing techniques may be used for detection, segmentation and tracking people in video. This first paper reports people segmentation in video using background subtraction, by two different approaches, namely frame differences, and blind signal separation based on the independent component analysis method. Results are commented, along with perspectives for further work. (author)

People detection in nuclear plants by video processing for safety purpose

International Nuclear Information System (INIS)

Jorge, Carlos Alexandre F.; Mol, Antonio Carlos A.; Seixas, Jose M.; Silva, Eduardo Antonio B.; Cota, Raphael E.; Ramos, Bruno L.

2011-01-01

This work describes the development of a surveillance system for safety purposes in nuclear plants. The final objective is to track people online in videos, in order to estimate the dose received by personnel, during the execution of working tasks in nuclear plants. The estimation will be based on their tracked positions and on dose rate mapping in a real nuclear plant at Instituto de Engenharia Nuclear, Argonauta nuclear research reactor. Cameras have been installed within Argonauta's room, supplying the data needed. Both video processing and statistical signal processing techniques may be used for detection, segmentation and tracking people in video. This first paper reports people segmentation in video using background subtraction, by two different approaches, namely frame differences, and blind signal separation based on the independent component analysis method. Results are commented, along with perspectives for further work. (author)

A data-capture system for post-marketing surveillance of drugs that integrates with hospital electronic health records

Directory of Open Access Journals (Sweden)

Yamamoto K

2011-04-01

Full Text Available Keiichi Yamamoto1, Shigemi Matsumoto2, Kazuhiro Yanagihara2, Satoshi Teramukai1, Masanori Fukushima1,2,31Department of Clinical Trial Design and Management, Translational Research Center, Kyoto University Hospital, Kyoto, Japan; 2Outpatient Oncology Unit, Kyoto University Hospital, Kyoto, Japan; 3Translational Research Informatics Center, Foundation for Biomedical Research and Innovation, Kobe, JapanPurpose: In conventional clinical studies, the cost of data management for the purposes of quality control tend to be high and collecting paper-based case report forms (CRFs can be burdensome, because paper-based CRFs must be developed and filled out for each clinical study protocol. Use of electronic health records (EHRs for this purpose could reduce costs and improve data quality in clinical studies. Kyoto University Hospital launched an EHR system in January 2005. At the same time, a replicate of that database was established for other purposes. At the Outpatient Oncology Unit of Kyoto University Hospital we developed a data-capture system that includes a cancer clinical database system and a data warehouse for outcomes studies. This system allows us to accumulate data at low cost and apply it to various uses in clinical or outcomes studies. Here we report on the application of this system to the post-marketing surveillance of drugs.Methods: We evaluated the availability of this system and identified problems for future development. With this system investigators can register cases for post-marketing surveillance, and the registered cases are listed on a screen. When CRFs for a particular case are required, data can be extracted from the list and CRFs are produced in PDF format.Results and conclusion: In this study we confirmed the applicability of our new system to post-marketing surveillance in providing prompt and efficient data exchange. We expect it to reduce the cost of data management and analysis and to improve the quality of data in post

Predicting human activities in sequences of actions in RGB-D videos

Science.gov (United States)

Jardim, David; Nunes, Luís.; Dias, Miguel

2017-03-01

In our daily activities we perform prediction or anticipation when interacting with other humans or with objects. Prediction of human activity made by computers has several potential applications: surveillance systems, human computer interfaces, sports video analysis, human-robot-collaboration, games and health-care. We propose a system capable of recognizing and predicting human actions using supervised classifiers trained with automatically labeled data evaluated in our human activity RGB-D dataset (recorded with a Kinect sensor) and using only the position of the main skeleton joints to extract features. Using conditional random fields (CRFs) to model the sequential nature of actions in a sequence has been used before, but where other approaches try to predict an outcome or anticipate ahead in time (seconds), we try to predict what will be the next action of a subject. Our results show an activity prediction accuracy of 89.9% using an automatically labeled dataset.

Improving Patient Safety in Hospitals through Usage of Cloud Supported Video Surveillance

Directory of Open Access Journals (Sweden)

Predrag Dašić

2017-03-01

CONCLUSION: Patient safety is a growing issue which can be improved with the usage of high-end centralised surveillance systems allowing the staff to focus more on treating health issues rather that keeping a watchful eye on potential incidents.

Reliability of Alberta Infant Motor Scale Using Recorded Video Observations Among the Preterm Infants in India: A Reliability Study

Directory of Open Access Journals (Sweden)

Veena Kirthika S

2017-10-01

Full Text Available Background: Assessment of motor function is a vital characteristic of infant development. Alberta Infant Motor scale (AIMS is considered to be one of the tool available for screening the developmental delays, but this scale was formulated by using western samples. Every country has its own ethnic and cultural background and various differences are observed in the culture and ethnicity. Therefore, there is a need to obtain reliability for the use of AIMS in south Indian population. Purpose: To find the intra-rater and inter-rater reliability of Alberta Infant Motor Scale (AIMS on pre-term infants using the recorded video observations in Indian population. Method: 30 preterm infants in three age groups, 0-3 months (10 infants, 4-7 months (10 infants, 8-18 months (10 infants were recruited for this reliability study. The AIMS was administered to the preterm infants and the performance was videotaped. The performance was then rescored by the same therapist, immediately from the video and on another two consecutive months to estimate intra-rater reliability using ICC (3,1, two-way mixed effects model. For reporting inter-rater reliability, AIMS was scored by three different raters, using ICC (2,k two-way random effects model and by two other therapists to examine the inter and intra-rater reliability. Results: The two-way mixed effects model for intra-rater reliability of AIMS, ICC (3,1 = 0.99 and for reporting inter-rater reliability of AIMS by two-way random effects model, ICC (2,k = 0.96. Conclusion: AIMS has excellent intra and inter-rater reliability using recorded video observations among the preterm infants in India

Parallel Computational Intelligence-Based Multi-Camera Surveillance System

OpenAIRE

Orts-Escolano, Sergio; Garcia-Rodriguez, Jose; Morell, Vicente; Cazorla, Miguel; Azorin-Lopez, Jorge; García-Chamizo, Juan Manuel

2014-01-01

In this work, we present a multi-camera surveillance system based on the use of self-organizing neural networks to represent events on video. The system processes several tasks in parallel using GPUs (graphic processor units). It addresses multiple vision tasks at various levels, such as segmentation, representation or characterization, analysis and monitoring of the movement. These features allow the construction of a robust representation of the environment and interpret the behavior of mob...

An Overview of Deep Learning Based Methods for Unsupervised and Semi-Supervised Anomaly Detection in Videos

Directory of Open Access Journals (Sweden)

B. Ravi Kiran

2018-02-01

Full Text Available Videos represent the primary source of information for surveillance applications. Video material is often available in large quantities but in most cases it contains little or no annotation for supervised learning. This article reviews the state-of-the-art deep learning based methods for video anomaly detection and categorizes them based on the type of model and criteria of detection. We also perform simple studies to understand the different approaches and provide the criteria of evaluation for spatio-temporal anomaly detection.

Video Golf

Science.gov (United States)

1995-01-01

George Nauck of ENCORE!!! invented and markets the Advanced Range Performance (ARPM) Video Golf System for measuring the result of a golf swing. After Nauck requested their assistance, Marshall Space Flight Center scientists suggested video and image processing/computing technology, and provided leads on commercial companies that dealt with the pertinent technologies. Nauck contracted with Applied Research Inc. to develop a prototype. The system employs an elevated camera, which sits behind the tee and follows the flight of the ball down range, catching the point of impact and subsequent roll. Instant replay of the video on a PC monitor at the tee allows measurement of the carry and roll. The unit measures distance and deviation from the target line, as well as distance from the target when one is selected. The information serves as an immediate basis for making adjustments or as a record of skill level progress for golfers.

Distributed video data fusion and mining

Science.gov (United States)

Chang, Edward Y.; Wang, Yuan-Fang; Rodoplu, Volkan

2004-09-01

This paper presents an event sensing paradigm for intelligent event-analysis in a wireless, ad hoc, multi-camera, video surveillance system. In particilar, we present statistical methods that we have developed to support three aspects of event sensing: 1) energy-efficient, resource-conserving, and robust sensor data fusion and analysis, 2) intelligent event modeling and recognition, and 3) rapid deployment, dynamic configuration, and continuous operation of the camera networks. We outline our preliminary results, and discuss future directions that research might take.

Compliance with periodic surveillance for Von-Hippel-Lindau disease.

Science.gov (United States)

Lammens, Chantal R M; Aaronson, Neil K; Hes, Frederik J; Links, Thera P; Zonnenberg, Bernard A; Lenders, Jacques W M; Majoor-Krakauer, Danielle; Van Os, Theo A M; Gomez-Garcia, Encarna B; de Herder, Wouter; van der Luijt, Rob B; van den Ouweland, Ans M W; Van Hest, Liselot P; Verhoef, Senno; Bleiker, Eveline M A

2011-06-01

To assess compliance with a periodic surveillance regimen for Von Hippel-Lindau disease. In this nationwide study, Von Hippel-Lindau disease mutation carriers and those at 50% risk were invited to complete a questionnaire assessing (compliance with) advice given for periodic surveillance. Medical record data on compliance with recommended radiologic surveillance examinations were also collected. Of the 84 (77%) participants, 78 indicated having received advice to undergo periodic surveillance. Of these, 71 reported being fully compliant with that advice. In 64% of the cases, this advice was only partially consistent with published guidelines. Based on medical record data, between one quarter and one third of individuals did not undergo surveillance as recommended in the guidelines for central nervous system lesions and one half for visceral lesions. Screening delay for central nervous system lesions was significantly higher in one hospital and in those cases where "the advice given" deviated from the guidelines. The majority of those with or at risk of Von Hippel-Lindau disease reported having received and being fully compliant with screening advice. However, in many cases, the advice given was only partially consistent with published guidelines, and screening delays were observed. Efforts should be undertaken to stimulate guideline-based surveillance advice and to minimize screening delay.

Abnormal eating behavior in video-recorded meals in anorexia nervosa.

Science.gov (United States)

Gianini, Loren; Liu, Ying; Wang, Yuanjia; Attia, Evelyn; Walsh, B Timothy; Steinglass, Joanna

2015-12-01

Eating behavior during meals in anorexia nervosa (AN) has long been noted to be abnormal, but little research has been done carefully characterizing these behaviors. These eating behaviors have been considered pathological, but are not well understood. The current study sought to quantify ingestive and non-ingestive behaviors during a laboratory lunch meal, compare them to the behaviors of healthy controls (HC), and examine their relationships with caloric intake and anxiety during the meal. A standardized lunch meal was video-recorded for 26 individuals with AN and 10 HC. Duration, frequency, and latency of 16 mealtime behaviors were coded using computer software. Caloric intake, dietary energy density (DEDS), and anxiety were also measured. Nine mealtime behaviors were identified that distinguished AN from HC: staring at food, tearing food, nibbling/picking, dissecting food, napkin use, inappropriate utensil use, hand fidgeting, eating latency, and nibbling/picking latency. Among AN, a subset of these behaviors was related to caloric intake and anxiety. These data demonstrate that the mealtime behaviors of patients with AN and HC differ significantly, and some of these behaviors may be associated with food intake and anxiety. These mealtime behaviors may be important treatment targets to improve eating behavior in individuals with AN. Copyright © 2015 Elsevier Ltd. All rights reserved.

47 CFR 76.1710 - Operator interests in video programming.

Science.gov (United States)

2010-10-01

... 47 Telecommunication 4 2010-10-01 2010-10-01 false Operator interests in video programming. 76....1710 Operator interests in video programming. (a) Cable operators are required to maintain records in... interests in all video programming services as well as information regarding their carriage of such...

CameraCast: flexible access to remote video sensors

Science.gov (United States)

Kong, Jiantao; Ganev, Ivan; Schwan, Karsten; Widener, Patrick

2007-01-01

New applications like remote surveillance and online environmental or traffic monitoring are making it increasingly important to provide flexible and protected access to remote video sensor devices. Current systems use application-level codes like web-based solutions to provide such access. This requires adherence to user-level APIs provided by such services, access to remote video information through given application-specific service and server topologies, and that the data being captured and distributed is manipulated by third party service codes. CameraCast is a simple, easily used system-level solution to remote video access. It provides a logical device API so that an application can identically operate on local vs. remote video sensor devices, using its own service and server topologies. In addition, the application can take advantage of API enhancements to protect remote video information, using a capability-based model for differential data protection that offers fine grain control over the information made available to specific codes or machines, thereby limiting their ability to violate privacy or security constraints. Experimental evaluations of CameraCast show that the performance of accessing remote video information approximates that of accesses to local devices, given sufficient networking resources. High performance is also attained when protection restrictions are enforced, due to an efficient kernel-level realization of differential data protection.

Video-Stimulated Accounts: Young Children Accounting for Interactional Matters in Front of Peers

Science.gov (United States)

Theobald, Maryanne

2012-01-01

Research in the early years places increasing importance on participatory methods to engage children. The playback of video-recording to stimulate conversation is a research method that enables children's accounts to be heard and attends to a participatory view. During video-stimulated sessions, participants watch an extract of video-recording of…

Virtual 3D bladder reconstruction for augmented medical records from white light cystoscopy (Conference Presentation)

Science.gov (United States)

Lurie, Kristen L.; Zlatev, Dimitar V.; Angst, Roland; Liao, Joseph C.; Ellerbee, Audrey K.

2016-02-01

Bladder cancer has a high recurrence rate that necessitates lifelong surveillance to detect mucosal lesions. Examination with white light cystoscopy (WLC), the standard of care, is inherently subjective and data storage limited to clinical notes, diagrams, and still images. A visual history of the bladder wall can enhance clinical and surgical management. To address this clinical need, we developed a tool to transform in vivo WLC videos into virtual 3-dimensional (3D) bladder models using advanced computer vision techniques. WLC videos from rigid cystoscopies (1280 x 720 pixels) were recorded at 30 Hz followed by immediate camera calibration to control for image distortions. Video data were fed into an automated structure-from-motion algorithm that generated a 3D point cloud followed by a 3D mesh to approximate the bladder surface. The highest quality cystoscopic images were projected onto the approximated bladder surface to generate a virtual 3D bladder reconstruction. In intraoperative WLC videos from 36 patients undergoing transurethral resection of suspected bladder tumors, optimal reconstruction was achieved from frames depicting well-focused vasculature, when the bladder was maintained at constant volume with minimal debris, and when regions of the bladder wall were imaged multiple times. A significant innovation of this work is the ability to perform the reconstruction using video from a clinical procedure collected with standard equipment, thereby facilitating rapid clinical translation, application to other forms of endoscopy and new opportunities for longitudinal studies of cancer recurrence.

La videovigilancia laboral y el derecho a la protección de datos de carácter personal // Workplace video surveillance and right to the protection of personal data

Directory of Open Access Journals (Sweden)

Ana Gude Fernández

2014-12-01

3. CONCLUSIONS RESUMEN: Este trabajo tiene por objeto el examen de los problemas que plantea la videovigilancia laboral desde la perspectiva del derecho a la protección de los datos. La Ley Orgánica 5/1999, de 13 diciembre y su Reglamento de desarrollo son aplicables a las imágenes obtenidas por los empresarios a través de videocámaras de sus trabajadores; pues bien, el análisis de estos textos normativos así como de la jurisprudencia dictada sobre la materia, en especial la STC 29/2013 de 11 de febrero, constituyen el contenido principal de este estudio. ABSTRACT: This work focuses on workplace video surveillance and its implications from the viewpoint of the right to the protection of personal data. Organic Law 5/1999 and its development regulation applies to the images obtained by employers through use of video cameras. The analysis of these legal texts and of the jurisprudence, particularly of the Constitutional Court sentence of 11 February 2013, is the subject of this study.

Hospital staff should use more than one method to detect adverse events and potential adverse events: incident reporting, pharmacist surveillance and local real‐time record review may all have a place

Science.gov (United States)

Olsen, Sisse; Neale, Graham; Schwab, Kat; Psaila, Beth; Patel, Tejal; Chapman, E Jane; Vincent, Charles

2007-01-01

Background Over the past five years, in most hospitals in England and Wales, incident reporting has become well established but it remains unclear how well reports match clinical adverse events. International epidemiological studies of adverse events are based on retrospective, multi‐hospital case record review. In this paper the authors describe the use of incident reporting, pharmacist surveillance and local real‐time record review for the recognition of clinical risks associated with hospital inpatient care. Methodology Data on adverse events were collected prospectively on 288 patients discharged from adult acute medical and surgical units in an NHS district general hospital using incident reports, active surveillance of prescription charts by pharmacists and record review at time of discharge. Results Record review detected 26 adverse events (AEs) and 40 potential adverse events (PAEs) occurring during the index admission. In contrast, in the same patient group, incident reporting detected 11 PAEs and no AEs. Pharmacy surveillance found 10 medication errors all of which were PAEs. There was little overlap in the nature of events detected by the three methods. Conclusion The findings suggest that incident reporting does not provide an adequate assessment of clinical adverse events and that this method needs to be supplemented with other more systematic forms of data collection. Structured record review, carried out by clinicians, provides an important component of an integrated approach to identifying risk in the context of developing a safety and quality improvement programme. PMID:17301203

The Role of Corporate and Government Surveillance in Shifting Journalistic Information Security Practices

Science.gov (United States)

Shelton, Martin L.

2015-01-01

Digital technologies have fundamentally altered how journalists communicate with their sources, enabling them to exchange information through social media as well as video, audio, and text chat. Simultaneously, journalists are increasingly concerned with corporate and government surveillance as a threat to their ability to speak with sources in…

Sonoma Persistent Surveillance System

Energy Technology Data Exchange (ETDEWEB)

Pennington, D M

2006-03-24

Sonoma offers the first cost-effective, broad-area, high-resolution, real-time motion imagery system for surveillance applications. Sonoma is unique in its ability to provide continuous, real-time video imagery of an area the size of a small city with resolutions sufficient to track 8,000 moving objects in the field of view. At higher resolutions and over smaller areas, Sonoma can even track the movement of individual people. The visual impact of the data available from Sonoma is already causing a paradigm shift in the architecture and operation of other surveillance systems. Sonoma is expected to cost just one-tenth the price of comparably sized sensor systems. Cameras mounted on an airborne platform constantly monitor an area, feeding data to the ground for real-time analysis. Sonoma was designed to provide real-time data for actionable intelligence in situations such as monitoring traffic, special events, border security, and harbors. If a Sonoma system had been available in the aftermath of the Katrina and Rita hurricanes, emergency responders would have had real-time information on roads, water levels, and traffic conditions, perhaps saving many lives.

Characterizing popularity dynamics of online videos

Science.gov (United States)

Ren, Zhuo-Ming; Shi, Yu-Qiang; Liao, Hao

2016-07-01

Online popularity has a major impact on videos, music, news and other contexts in online systems. Characterizing online popularity dynamics is nature to explain the observed properties in terms of the already acquired popularity of each individual. In this paper, we provide a quantitative, large scale, temporal analysis of the popularity dynamics in two online video-provided websites, namely MovieLens and Netflix. The two collected data sets contain over 100 million records and even span a decade. We characterize that the popularity dynamics of online videos evolve over time, and find that the dynamics of the online video popularity can be characterized by the burst behaviors, typically occurring in the early life span of a video, and later restricting to the classic preferential popularity increase mechanism.

Mosquito (Diptera: Culicidae Habitat Surveillance by Android Mobile Devices in Guangzhou, China

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Tai-Ping Wu

2016-12-01

Full Text Available In 2014, Guangzhou City, South China, suffered from its worst outbreak of dengue fever in decades. Larval mosquito habitat surveillance was carried out by using android mobile devices in four study sites in May 2015. The habitats with larval mosquitoes were recorded as photo waypoints in OruxMaps or in videos. The total number of potential mosquito habitats was 342, of which 166 (49% were found to have mosquito larvae or pupae. Small containers were the most abundant potential habitats, accounting for 26% of the total number. More mosquito larvae and pupae, were found in small containers than in other objects holding water, for example, potted or hydroponic plants (p < 0.05. Mosquito larvae were collected from all plastic road barriers, used tires, and underground water. Aedes albopictus larvae were found from small and large containers, stumps, among others. The overall route index (RI was 11.3, which was 14.2 times higher than the grade C criteria of the National Patriotic Health Campaign Committee (NPHCC, China. The higher RIs were found from the bird and flower markets, schools, and underground parking lots. The results indicated that Android mobile devices are a convenient and useful tool for surveillance of mosquito habitats, and the enhancement of source reduction may benefit the prevention and control of dengue vector mosquitoes.

Video systems for alarm assessment

International Nuclear Information System (INIS)

Greenwoll, D.A.; Matter, J.C.; Ebel, P.E.

1991-09-01

The purpose of this NUREG is to present technical information that should be useful to NRC licensees in designing closed-circuit television systems for video alarm assessment. There is a section on each of the major components in a video system: camera, lens, lighting, transmission, synchronization, switcher, monitor, and recorder. Each section includes information on component selection, procurement, installation, test, and maintenance. Considerations for system integration of the components are contained in each section. System emphasis is focused on perimeter intrusion detection and assessment systems. A glossary of video terms is included. 13 figs., 9 tabs

Video systems for alarm assessment

Energy Technology Data Exchange (ETDEWEB)

Greenwoll, D.A.; Matter, J.C. (Sandia National Labs., Albuquerque, NM (United States)); Ebel, P.E. (BE, Inc., Barnwell, SC (United States))

1991-09-01

The purpose of this NUREG is to present technical information that should be useful to NRC licensees in designing closed-circuit television systems for video alarm assessment. There is a section on each of the major components in a video system: camera, lens, lighting, transmission, synchronization, switcher, monitor, and recorder. Each section includes information on component selection, procurement, installation, test, and maintenance. Considerations for system integration of the components are contained in each section. System emphasis is focused on perimeter intrusion detection and assessment systems. A glossary of video terms is included. 13 figs., 9 tabs.

Content-based video indexing and searching with wavelet transformation

Science.gov (United States)

Stumpf, Florian; Al-Jawad, Naseer; Du, Hongbo; Jassim, Sabah

2006-05-01

Biometric databases form an essential tool in the fight against international terrorism, organised crime and fraud. Various government and law enforcement agencies have their own biometric databases consisting of combination of fingerprints, Iris codes, face images/videos and speech records for an increasing number of persons. In many cases personal data linked to biometric records are incomplete and/or inaccurate. Besides, biometric data in different databases for the same individual may be recorded with different personal details. Following the recent terrorist atrocities, law enforcing agencies collaborate more than before and have greater reliance on database sharing. In such an environment, reliable biometric-based identification must not only determine who you are but also who else you are. In this paper we propose a compact content-based video signature and indexing scheme that can facilitate retrieval of multiple records in face biometric databases that belong to the same person even if their associated personal data are inconsistent. We shall assess the performance of our system using a benchmark audio visual face biometric database that has multiple videos for each subject but with different identity claims. We shall demonstrate that retrieval of relatively small number of videos that are nearest, in terms of the proposed index, to any video in the database results in significant proportion of that individual biometric data.

Intelligent multimedia surveillance current trends and research

CERN Document Server

Atrey, Pradeep K; Cavallaro, Andrea

2013-01-01

Intelligent multimedia surveillance concerns the analysis of multiple sensing inputs including video and audio streams, radio-frequency identification (RFID), and depth data. These data are processed for the automated detection and tracking of people, vehicles, and other objects. The goal is to locate moving targets, to understand their behavior, and to detect suspicious or abnormal activities for crime prevention. Despite its benefits, there is societal apprehension regarding the use of such technology, so an important challenge in this research area is to balance public safety and privacy.

Video capture on student-owned mobile devices to facilitate psychomotor skills acquisition: A feasibility study.

Science.gov (United States)

Hinck, Glori; Bergmann, Thomas F

2013-01-01

Objective : We evaluated the feasibility of using mobile device technology to allow students to record their own psychomotor skills so that these recordings can be used for self-reflection and formative evaluation. Methods : Students were given the choice of using DVD recorders, zip drive video capture equipment, or their personal mobile phone, device, or digital camera to record specific psychomotor skills. During the last week of the term, they were asked to complete a 9-question survey regarding their recording experience, including details of mobile phone ownership, technology preferences, technical difficulties, and satisfaction with the recording experience and video critique process. Results : Of those completing the survey, 83% currently owned a mobile phone with video capability. Of the mobile phone owners 62% reported having email capability on their phone and that they could transfer their video recording successfully to their computer, making it available for upload to the learning management system. Viewing the video recording of the psychomotor skill was valuable to 88% of respondents. Conclusions : Our results suggest that mobile phones are a viable technology to use for the video capture and critique of psychomotor skills, as most students own this technology and their satisfaction with this method is high.

Using automated medical records for rapid identification of illness syndromes (syndromic surveillance: the example of lower respiratory infection

Directory of Open Access Journals (Sweden)

Dashevsky Inna

2001-10-01

Full Text Available Abstract Background Gaps in disease surveillance capacity, particularly for emerging infections and bioterrorist attack, highlight a need for efficient, real time identification of diseases. Methods We studied automated records from 1996 through 1999 of approximately 250,000 health plan members in greater Boston. Results We identified 152,435 lower respiratory infection illness visits, comprising 106,670 episodes during 1,143,208 person-years. Three diagnoses, cough (ICD9CM 786.2, pneumonia not otherwise specified (ICD9CM 486 and acute bronchitis (ICD9CM 466.0 accounted for 91% of these visits, with expected age and sex distributions. Variation of weekly occurrences corresponded closely to national pneumonia and influenza mortality data. There was substantial variation in geographic location of the cases. Conclusion This information complements existing surveillance programs by assessing the large majority of episodes of illness for which no etiologic agents are identified. Additional advantages include: a sensitivity, uniformity and efficiency, since detection of events does not depend on clinicians' to actively report diagnoses, b timeliness, the data are available within a day of the clinical event; and c ease of integration into automated surveillance systems. These features facilitate early detection of conditions of public health importance, including regularly occurring events like seasonal respiratory illness, as well as unusual occurrences, such as a bioterrorist attack that first manifests as respiratory symptoms. These methods should also be applicable to other infectious and non-infectious conditions. Knowledge of disease patterns in real time may also help clinicians to manage patients, and assist health plan administrators in allocating resources efficiently.

High-speed three-frame image recording system using colored flash units and low-cost video equipment

Science.gov (United States)

Racca, Roberto G.; Scotten, Larry N.

1995-05-01

This article describes a method that allows the digital recording of sequences of three black and white images at rates of several thousand frames per second using a system consisting of an ordinary CCD camcorder, three flash units with color filters, a PC-based frame grabber board and some additional electronics. The maximum framing rate is determined by the duration of the flashtube emission, and for common photographic flash units lasting about 20 microsecond(s) it can exceed 10,000 frames per second in actual use. The subject under study is strobe- illuminated using a red, a green and a blue flash unit controlled by a special sequencer, and the three images are captured by a color CCD camera on a single video field. Color is used as the distinguishing parameter that allows the overlaid exposures to be resolved. The video output for that particular field will contain three individual scenes, one for each primary color component, which potentially can be resolved with no crosstalk between them. The output is electronically decoded into the primary color channels, frame grabbed and stored into digital memory, yielding three time-resolved images of the subject. A synchronization pulse provided by the flash sequencer triggers the frame grabbing so that the correct video field is acquired. A scheme involving the use of videotape as intermediate storage allows the frame grabbing to be performed using a monochrome video digitizer. Ideally each flash- illuminated scene would be confined to one color channel, but in practice various factors, both optical and electronic, affect color separation. Correction equations have been derived that counteract these effects in the digitized images and minimize 'ghosting' between frames. Once the appropriate coefficients have been established through a calibration procedure that needs to be performed only once for a given configuration of the equipment, the correction process is carried out transparently in software every time a

Fractal measures of video-recorded trajectories can classify motor subtypes in Parkinson's Disease

Science.gov (United States)

Figueiredo, Thiago C.; Vivas, Jamile; Peña, Norberto; Miranda, José G. V.

2016-11-01

Parkinson's Disease is one of the most prevalent neurodegenerative diseases in the world and affects millions of individuals worldwide. The clinical criteria for classification of motor subtypes in Parkinson's Disease are subjective and may be misleading when symptoms are not clearly identifiable. A video recording protocol was used to measure hand tremor of 14 individuals with Parkinson's Disease and 7 healthy subjects. A method for motor subtype classification was proposed based on the spectral distribution of the movement and compared with the existing clinical criteria. Box-counting dimension and Hurst Exponent calculated from the trajectories were used as the relevant measures for the statistical tests. The classification based on the power-spectrum is shown to be well suited to separate patients with and without tremor from healthy subjects and could provide clinicians with a tool to aid in the diagnosis of patients in an early stage of the disease.

Parallel Computational Intelligence-Based Multi-Camera Surveillance System

Directory of Open Access Journals (Sweden)

Sergio Orts-Escolano

2014-04-01

Full Text Available In this work, we present a multi-camera surveillance system based on the use of self-organizing neural networks to represent events on video. The system processes several tasks in parallel using GPUs (graphic processor units. It addresses multiple vision tasks at various levels, such as segmentation, representation or characterization, analysis and monitoring of the movement. These features allow the construction of a robust representation of the environment and interpret the behavior of mobile agents in the scene. It is also necessary to integrate the vision module into a global system that operates in a complex environment by receiving images from multiple acquisition devices at video frequency. Offering relevant information to higher level systems, monitoring and making decisions in real time, it must accomplish a set of requirements, such as: time constraints, high availability, robustness, high processing speed and re-configurability. We have built a system able to represent and analyze the motion in video acquired by a multi-camera network and to process multi-source data in parallel on a multi-GPU architecture.

Quality-control activities of the Hanford Environmental Surveillance Program

International Nuclear Information System (INIS)

Price, K.R.; Jaquish, R.E.

1982-01-01

A comprehensive approach to quality control (QC) has been developed by the Pacific Northwest Laboratory for the Hanford Environmental Surveillance Program. The framework of quality control for the surveillance program has been documented in a QC implementation guide wherein QC requirements are specified and specific responsibilities and authorities are described. Subjects in the guide include the collection, analysis, and reporting of samples as well as equipment calibration and maintenance, training, audits, and record keeping. A QC file and library have been established to store pertinent documentation, records, and references for ready access

PVR system design of advanced video navigation reinforced with audible sound

NARCIS (Netherlands)

Eerenberg, O.; Aarts, R.; De With, P.N.

2014-01-01

This paper presents an advanced video navigation concept for Personal Video Recording (PVR), based on jointly using the primary image and a Picture-in-Picture (PiP) image, featuring combined rendering of normal-play video fragments with audio and fast-search video. The hindering loss of audio during

A comparison between flexible electrogoniometers, inclinometers and three-dimensional video analysis system for recording neck movement.

Science.gov (United States)

Carnaz, Letícia; Moriguchi, Cristiane S; de Oliveira, Ana Beatriz; Santiago, Paulo R P; Caurin, Glauco A P; Hansson, Gert-Åke; Coury, Helenice J C Gil

2013-11-01

This study compared neck range of movement recording using three different methods goniometers (EGM), inclinometers (INC) and a three-dimensional video analysis system (IMG) in simultaneous and synchronized data collection. Twelve females performed neck flexion-extension, lateral flexion, rotation and circumduction. The differences between EGM, INC, and IMG were calculated sample by sample. For flexion-extension movement, IMG underestimated the amplitude by 13%; moreover, EGM showed a crosstalk of about 20% for lateral flexion and rotation axes. In lateral flexion movement, all systems showed similar amplitude and the inter-system differences were moderate (4-7%). For rotation movement, EGM showed a high crosstalk (13%) for flexion-extension axis. During the circumduction movement, IMG underestimated the amplitude of flexion-extension movements by about 11%, and the inter-system differences were high (about 17%) except for INC-IMG regarding lateral flexion (7%) and EGM-INC regarding flexion-extension (10%). For application in workplace, INC presents good results compared to IMG and EGM though INC cannot record rotation. EGM should be improved in order to reduce its crosstalk errors and allow recording of the full neck range of movement. Due to non-optimal positioning of the cameras for recording flexion-extension, IMG underestimated the amplitude of these movements. Copyright © 2013 IPEM. Published by Elsevier Ltd. All rights reserved.

Iterative Multiview Side Information for Enhanced Reconstruction in Distributed Video Coding