Real-time Adaptive Camera Tamper Detection for Video Surveillance

SAĞLAM A., Temizel A.

6th IEEE International Conference on Advanced Video and Signal Based Surveillance, Genoa, Italy, 2 - 04 September 2009, pp.430-435 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/avss.2009.29
  • City: Genoa
  • Country: Italy
  • Page Numbers: pp.430-435
  • Keywords: video surveillance, camera tampering, camera sabotage, covered camera, defocused camera, moved camera
  • Middle East Technical University Affiliated: Yes


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.