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2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06)
Real-Time Detection of Camera Tampering
Sydney, NSW, Australia
November 22-November 24
ISBN: 0-7695-2688-8
ASCII Text
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Evan Ribnick, Stefan Atev, Osama Masoud, Nikolaos Papanikolopoulos, Richard Voyles, "Real-Time Detection of Camera Tampering," Advanced Video and Signal Based Surveillance, IEEE Conference on, pp. 10, 2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06), 2006.
 
 
BibTex
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@article{ 10.1109/AVSS.2006.94,
author = {Evan Ribnick and Stefan Atev and Osama Masoud and Nikolaos Papanikolopoulos and Richard Voyles},
title = {Real-Time Detection of Camera Tampering},
journal ={Advanced Video and Signal Based Surveillance, IEEE Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2688-8},
pages = {10},
doi = {http://doi.ieeecomputersociety.org/10.1109/AVSS.2006.94},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Advanced Video and Signal Based Surveillance, IEEE Conference on
TI - Real-Time Detection of Camera Tampering
SN - 0-7695-2688-8
SP
EP
A1 - Evan Ribnick,
A1 - Stefan Atev,
A1 - Osama Masoud,
A1 - Nikolaos Papanikolopoulos,
A1 - Richard Voyles,
PY - 2006
KW - null
VL - 0
JA - Advanced Video and Signal Based Surveillance, IEEE Conference on
ER -
 
Evan Ribnick, University of Minnesota, USA
Stefan Atev, University of Minnesota, USA
Osama Masoud, University of Minnesota, USA
Nikolaos Papanikolopoulos, University of Minnesota, USA
Richard Voyles, University of Minnesota, USA
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.
Citation:
Evan Ribnick, Stefan Atev, Osama Masoud, Nikolaos Papanikolopoulos, Richard Voyles, "Real-Time Detection of Camera Tampering," avss, pp.10, 2006 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS'06), 2006
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