Real-Time Detection of Camera Tampering

Authors:
Evan Ribnick;Stefan Atev;Osama Masoud;Nikolaos Papanikolopoulos;Richard Voyles
Affiliations:
University of Minnesota, USA;University of Minnesota, USA;University of Minnesota, USA;University of Minnesota, USA;University of Minnesota, USA
Venue:
AVSS '06 Proceedings of the IEEE International Conference on Video and Signal Based Surveillance
Year:
2006

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Abstract

This paper presents a novel technique for camera tampering detection. It is implemented in real-time and was developed for use in surveillance and security applications. This method identifies camera tampering by detecting large differences between older frames of video and more recent frames. A buffer of incoming video frames is kept and three different measures of image dissimilarity are used to compare the frames. After normalization, a set of conditions is tested to decide if camera tampering has occurred. The effects of adjusting the internal parameters of the algorithm are examined. The performance of this method is shown to be extremely favorable in real-world settings.