Real-time detection of camera tampering

Evan Ribnick, Stefan Atev, Osama Masoud, Nikolaos Papanikolopoulos, Richard Voyles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

38 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006
PublisherIEEE Computer Society
Pages10-15
Number of pages6
ISBN (Print)0769526888, 9780769526881
DOIs
StatePublished - 2006
EventIEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006 - Sydney, NSW, Australia
Duration: Nov 22 2006Nov 24 2006

Publication series

NameProceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006

Other

OtherIEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006
CountryAustralia
CitySydney, NSW
Period11/22/0611/24/06

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