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Authors: Kan Ouivirach ; Shashi Gharti and Matthew N. Dailey

Affiliation: Asian Institute of Technology, Thailand

Keyword(s): Hidden Markov Models, Behavior Clustering, Anomaly Detection, Bootstrapping.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Video Surveillance and Event Detection

Abstract: We propose and evaluate a new method for automatic identification of suspicious behavior in video surveillance data. It partitions the bootstrap set into clusters then assigns new observation sequences to clusters based on statistical tests of HMM log likelihood scores. In an evaluation on a real-world testbed video surveillance data set, the method achieves a false alarm rate of 7.4% at a 100% hit rate. It is thus a practical and effective solution to the problem of inducing scene-specific statistical models useful for bringing suspicious behavior to the attention of human security personnel.

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Paper citation in several formats:
Ouivirach, K.; Gharti, S. and N. Dailey, M. (2012). AUTOMATIC SUSPICIOUS BEHAVIOR DETECTION FROM A SMALL BOOTSTRAP SET. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP; ISBN 978-989-8565-03-7; ISSN 2184-4321, SciTePress, pages 655-658. DOI: 10.5220/0003727206550658

@conference{visapp12,
author={Kan Ouivirach. and Shashi Gharti. and Matthew {N. Dailey}.},
title={AUTOMATIC SUSPICIOUS BEHAVIOR DETECTION FROM A SMALL BOOTSTRAP SET},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP},
year={2012},
pages={655-658},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003727206550658},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP
TI - AUTOMATIC SUSPICIOUS BEHAVIOR DETECTION FROM A SMALL BOOTSTRAP SET
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Ouivirach, K.
AU - Gharti, S.
AU - N. Dailey, M.
PY - 2012
SP - 655
EP - 658
DO - 10.5220/0003727206550658
PB - SciTePress

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