Real-time detection of camera tampering

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

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

34 Citations (Scopus)

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
DOIs
StatePublished - Dec 1 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

Fingerprint

Cameras

Cite this

Ribnick, E., Atev, S., Masoud, O., Papanikolopoulos, N. P., & 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). https://doi.org/10.1109/AVSS.2006.94

Real-time detection of camera tampering. / Ribnick, Evan; Atev, Stefan; Masoud, Osama; Papanikolopoulos, Nikolaos P; Voyles, Richard.

Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006. 2006. 4020669 (Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006).

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

Ribnick, E, Atev, S, Masoud, O, Papanikolopoulos, NP & 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 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 NP, Voyles R. Real-time detection of camera tampering. In Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006. 2006. 4020669. (Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006). https://doi.org/10.1109/AVSS.2006.94
Ribnick, Evan ; Atev, Stefan ; Masoud, Osama ; Papanikolopoulos, Nikolaos P ; Voyles, Richard. / Real-time detection of camera tampering. Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006. 2006. (Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006).
@inproceedings{2808b65737a7498eb1525ab9f4e56639,
title = "Real-time detection of camera tampering",
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.",
author = "Evan Ribnick and Stefan Atev and Osama Masoud and Papanikolopoulos, {Nikolaos P} and Richard Voyles",
year = "2006",
month = "12",
day = "1",
doi = "10.1109/AVSS.2006.94",
language = "English (US)",
isbn = "0769526888",
series = "Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006",
booktitle = "Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006",

}

TY - GEN

T1 - Real-time detection of camera tampering

AU - Ribnick, Evan

AU - Atev, Stefan

AU - Masoud, Osama

AU - Papanikolopoulos, Nikolaos P

AU - Voyles, Richard

PY - 2006/12/1

Y1 - 2006/12/1

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=34547282794&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34547282794&partnerID=8YFLogxK

U2 - 10.1109/AVSS.2006.94

DO - 10.1109/AVSS.2006.94

M3 - Conference contribution

SN - 0769526888

SN - 9780769526881

T3 - Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006

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

ER -