Camera tamper detection using wavelet analysis for video surveillance
Author
Aksay, A.
Temizel, A.
Çetin, A. Enis
Date
2007-09Source Title
2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007 Proceedings
Publisher
IEEE
Pages
558 - 562
Language
English
Type
Conference PaperItem Usage Stats
69
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Metadata
Show full item recordAbstract
It is generally accepted that video surveillance system operators lose their concentration after a short period of time and may miss important events taking place. In addition, many surveillance systems are frequently left unattended. Because of these reasons, automated analysis of the live video feed and automatic detection of suspicious activity have recently gained importance. To prevent capture of their images, criminals resort to several techniques such as deliberately obscuring the camera view, covering the lens with a foreign object, spraying or defocusing the camera lens. In this paper, we propose some computationally efficient wavelet domain methods for rapid camera tamper detection and identify some real-life problems and propose solutions to these. © 2007 IEEE.
Keywords
CamerasComputer networks
Lenses
Optical instruments
Video amplifiers
Wavelet transforms
Automated analysis
Automatic detection
Camera view
Computationally efficient
Concentration (composition)
Defocusing
Foreign objects
Live video
Real life problems
Surveillance System (MSS)
Tamper detection
Video surveillance
Video surveillance system (VSS)
Wavelet domains
Security systems
Permalink
http://hdl.handle.net/11693/27074Published Version (Please cite this version)
http://dx.doi.org/10.1109/AVSS.2007.4425371Collections
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