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, İtalya, 2 - 04 Eylül 2009, ss.430-435 identifier identifier

  • Doi Numarası: 10.1109/avss.2009.29
  • Basıldığı Şehir: Genoa
  • Basıldığı Ülke: İtalya
  • Sayfa Sayıları: ss.430-435

Özet

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.