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Authors: Carolina Gárate ; Sofia Zaidenberg ; Julien Badie and François Brémond

Affiliation: INRIA, France

Keyword(s): Computer Vision, Group Tracking, Behavior Recognition, Video Surveillance.

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

Abstract: This paper makes use of recent advances in group tracking and behavior recognition to process large amounts of video surveillance data from an underground railway station and perform a statistical analysis. The most important advantages of our approach are the robustness to process long videos and the capacity to recognize several and different events at once. This analysis automatically brings forward data about the usage of the station and the various behaviors of groups in different hours of the day. This data would be very hard to obtain without an automatic group tracking and behavior recognition method. We present the results and interpretation of one month of processed data from a video surveillance camera in the Torino subway.

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Paper citation in several formats:
Gárate, C. ; Zaidenberg, S. ; Badie, J. and Brémond, F. (2014). Group Tracking and Behavior Recognition in Long Video Surveillance Sequences. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: VISAPP; ISBN 978-989-758-004-8; ISSN 2184-4321, SciTePress, pages 396-402. DOI: 10.5220/0004682503960402

@conference{visapp14,
author={Carolina Gárate and Sofia Zaidenberg and Julien Badie and Fran\c{c}ois Brémond},
title={Group Tracking and Behavior Recognition in Long Video Surveillance Sequences},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: VISAPP},
year={2014},
pages={396-402},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004682503960402},
isbn={978-989-758-004-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 1: VISAPP
TI - Group Tracking and Behavior Recognition in Long Video Surveillance Sequences
SN - 978-989-758-004-8
IS - 2184-4321
AU - Gárate, C.
AU - Zaidenberg, S.
AU - Badie, J.
AU - Brémond, F.
PY - 2014
SP - 396
EP - 402
DO - 10.5220/0004682503960402
PB - SciTePress

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