Real-Time Detection of Camera Tampering
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
Automatic Control of Video Surveillance Camera Sabotage
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Camera tamper detection using wavelet analysis for video surveillance
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Camera sabotage detection for surveillance systems
SIIS'11 Proceedings of the 2011 international conference on Security and Intelligent Information Systems
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Criminals often resort to camera tampering to prevent capture of their actions. Real-time automated detection of video camera tampering cases is important for timely warning of the operators. Tampering is generally done by obstructing the camera view by a foreign object, displacing the camera and changing the focus of the camera lens. In automated camera tamper detection systems, low false alarm rates are important as reliability of these systems is compromised by unnecessary alarms and consequently the operators start ignoring the warnings. We propose adaptive algorithms to detect and identify such cases with low false alarms rates in typical surveillance scenarios where there is significant activity in the scene.