Proceedings Article10.1109/CCST.2005.1594815
CCTV effectiveness study
G.P. van Voorthuijsen,H.A.J.M. van Hoof,Milos Klima,Karel Roubik,M. Bernas,Petr Páta +5 more
- 01 Jan 2005
- pp 105-108
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TL;DR: A project in which the influence of several technical variables on the operator's effectiveness was studied and selected experimental results and evaluated dependencies is demonstrated and summarized.
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Abstract: The field of CCTV surveillance is topical and widely used in many different applications. The fundamental part of the CCTV system is a reliable image evaluation by a human observer, whose effectiveness is influenced by many variables. Optimization of the effectiveness is a multidimensional problem related to both technical and human characteristics. In many applied systems, the overall performance is affected by a real performance of technical system (image compression, channel transmission, etc.). On the other hand these technical systems have different optimization criteria than a typical video system. TNO Defence, Security and Safety (formerly the TNO Physics and Electronics Laboratory) initiated a project in which the influence of several technical variables on the operator's effectiveness was studied. The whole project was carried out in close co-operation with the Czech Technical University in Prague (CTU). The paper demonstrates and summarizes selected experimental results and evaluated dependencies.
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Citations
Detecting violent and abnormal crowd activity using temporal analysis of grey level co-occurrence matrix (GLCM)-based texture measures
Kaelon Lloyd,Paul L. Rosin,David Marshall,Simon Christopher Moore +3 more
- 01 May 2017
TL;DR: A real-time descriptor that models crowd dynamics by encoding changes in crowd texture using temporal summaries of grey level co-occurrence matrix features is proposed and it is demonstrated that the appearance of violent behaviour changes in a less uniform manner when compared to other types of crowd behaviour.
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Detecting violent crowds using temporal analysis of GLCM texture
TL;DR: Computer vision techniques are utilized to develop an automated method of violence detection that can aid a human operator and measures of visual texture have shown to be effective at encoding crowd appearance are proposed.
to catch a thief -- you need at least 8 frames per second: the impact of frame rates on user performance in a CCTV detection task
Hina Keval,M. Angela Sasse +1 more
- 26 Oct 2008
TL;DR: This study investigates the impact of lowering frame rates on an observer's ability to distinguish between crime and no crime events from post-event recorded video, and provides CCTV practitioners with a minimum frame rate level (8 fps) for event detection.
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See No Evil: Cognitive Challenges of Security Surveillance and Monitoring
Helen M. Hodgetts,François Vachon,Cindy Chamberland,Sébastien Tremblay +3 more
- 01 Sep 2017
TL;DR: It is suggested that the NSEEV (noticing – salience, effort, expectancy, value) model of attention could provide a useful theoretical basis for understanding the challenges faced in detection and monitoring tasks.
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Leveraging orientation for weakly supervised object detection with application to firearm localization
TL;DR: A weakly supervised Orientation Aware Object Detection (OAOD) algorithm which learns to detect oriented object bounding boxes (OBB) while using Axis-Aligned Bounding Boxes (AABB) for training and has outperformed both types of object detectors with a significant margin.
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References
Objective and subjective image quality evaluation for security technology
Milos Klima,J. Pazderak,M. Bernas,Petr Páta,Jiri Hozman,Karel Roubik +5 more
- 16 Oct 2001
TL;DR: The paper compares three fundamentally different evaluation techniques of image objective criteria, subjective criteria and identification and found the MSE as an objective criterion, the subjective image quality according to the ITU-R Rec.
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