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Real-time Adaptive Camera Tamper Detection for Video Surveillance
Date
2009-09-04
Author
SAĞLAM, Ali
Temizel, Alptekin
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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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.
Subject Keywords
Video surveillance
,
Camera tampering
,
Camera sabotage
,
Covered camera
,
Defocused camera
,
Moved camera
URI
https://hdl.handle.net/11511/31725
DOI
https://doi.org/10.1109/avss.2009.29
Collections
Graduate School of Informatics, Conference / Seminar
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A. SAĞLAM and A. Temizel, “Real-time Adaptive Camera Tamper Detection for Video Surveillance,” 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31725.