Automated camera sabotage detection for enhancing video surveillance systems

Automated camera sabotage detection for enhancing video surveillance systems Multimed Tools Appl https://doi.org/10.1007/s11042-018-6165-4 Automated camera sabotage detection for enhancing video surveillance systems 1,2 1 K. Sitara · B. M. Mehtre Received: 2 October 2017 / Revised: 25 March 2018 / Accepted: 21 May 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Surveillance cameras are vital source of information in crime investigations. A surveillance video must be recorded with correct field of view and be of good quality, other- wise, it may not be suitable for investigation or analysis purposes. Perpetrators may tamper the recorded video or the physical device itself, in order to conceal their dubious activi- ties. Generally, surveillance systems are unmanned due to limitations of manual monitoring. Automatic detection of camera tamper events is crucial for timely operator intervention. We propose a new method for detecting video camera tampering events like occlusion, defocus and displacement. The features used are edge information, frame count, foreground objects’ coverage area and its static nature. Effectiveness of our method is tested through experi- mentation on public datasets. The results obtained are encouraging with high detection and low false alarm rates. The proposed method automatically detects routine problems with cameras like dirt on camera lens, fog and http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Multimedia Tools and Applications Springer Journals

Automated camera sabotage detection for enhancing video surveillance systems

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Publisher
Springer US
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Computer Science; Multimedia Information Systems; Computer Communication Networks; Data Structures, Cryptology and Information Theory; Special Purpose and Application-Based Systems
ISSN
1380-7501
eISSN
1573-7721
D.O.I.
10.1007/s11042-018-6165-4
Publisher site
See Article on Publisher Site

Abstract

Multimed Tools Appl https://doi.org/10.1007/s11042-018-6165-4 Automated camera sabotage detection for enhancing video surveillance systems 1,2 1 K. Sitara · B. M. Mehtre Received: 2 October 2017 / Revised: 25 March 2018 / Accepted: 21 May 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018 Abstract Surveillance cameras are vital source of information in crime investigations. A surveillance video must be recorded with correct field of view and be of good quality, other- wise, it may not be suitable for investigation or analysis purposes. Perpetrators may tamper the recorded video or the physical device itself, in order to conceal their dubious activi- ties. Generally, surveillance systems are unmanned due to limitations of manual monitoring. Automatic detection of camera tamper events is crucial for timely operator intervention. We propose a new method for detecting video camera tampering events like occlusion, defocus and displacement. The features used are edge information, frame count, foreground objects’ coverage area and its static nature. Effectiveness of our method is tested through experi- mentation on public datasets. The results obtained are encouraging with high detection and low false alarm rates. The proposed method automatically detects routine problems with cameras like dirt on camera lens, fog and

Journal

Multimedia Tools and ApplicationsSpringer Journals

Published: Jun 1, 2018

References

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