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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      Camera tamper detection using wavelet analysis for video surveillance

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      Author
      Aksay, A.
      Temizel, A.
      Çetin, A. Enis
      Date
      2007-09
      Source Title
      2007 IEEE Conference on Advanced Video and Signal Based Surveillance, AVSS 2007 Proceedings
      Publisher
      IEEE
      Pages
      558 - 562
      Language
      English
      Type
      Conference Paper
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      Abstract
      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
      Cameras
      Computer 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/11693/27074
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/AVSS.2007.4425371
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      • Department of Electrical and Electronics Engineering 3339

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