Real-time detection of camera tampering

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

doi:10.1109/AVSS.2006.94

Real-time detection of camera tampering

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

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

53 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 language	English (US)
Title of host publication	Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006
Publisher	IEEE Computer Society
Pages	10-15
Number of pages	6
ISBN (Print)	0769526888, 9780769526881
DOIs	https://doi.org/10.1109/AVSS.2006.94
State	Published - 2006
Event	IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006 - Sydney, NSW, Australia Duration: Nov 22 2006 → Nov 24 2006

Publication series

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

Other

Other	IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006
Country/Territory	Australia
City	Sydney, NSW
Period	11/22/06 → 11/24/06

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10.1109/AVSS.2006.94

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Ribnick, E., Atev, S., Masoud, O., Papanikolopoulos, N., & Voyles, R. (2006). Real-time detection of camera tampering. In Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006 (pp. 10-15). Article 4020669 (Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006). IEEE Computer Society. https://doi.org/10.1109/AVSS.2006.94

Real-time detection of camera tampering. / Ribnick, Evan; Atev, Stefan; Masoud, Osama et al.
Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006. IEEE Computer Society, 2006. p. 10-15 4020669 (Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ribnick, E, Atev, S, Masoud, O, Papanikolopoulos, N & Voyles, R 2006, Real-time detection of camera tampering. in Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006., 4020669, Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006, IEEE Computer Society, pp. 10-15, IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006, Sydney, NSW, Australia, 11/22/06. https://doi.org/10.1109/AVSS.2006.94

Ribnick E, Atev S, Masoud O, Papanikolopoulos N, Voyles R. Real-time detection of camera tampering. In Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006. IEEE Computer Society. 2006. p. 10-15. 4020669. (Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006). doi: 10.1109/AVSS.2006.94

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AB - 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.

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ER -

Real-time detection of camera tampering

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