Group interaction and group tracking for video-surveillance in underground railway stations

Abstract : In this paper we propose an approach to recognize behaviors of groups of people in the subway. Violent behavior or vandalism performed by a group can be detected in order to alert subway security. The proposed system is composed of 3 main layers: the detection of people in the video, the detection and tracking of groups among the detected individuals and the detection of events and scenarios of interest based on tracked actors (groups). The main focus of this paper are the group tracking and event detection layers.
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Communication dans un congrès
International Workshop on Behaviour Analysis and Video Understanding (ICVS 2011), Sep 2011, Sophia Antipolis, France. pp.10, 2011
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https://hal.inria.fr/inria-00624356
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Dernière modification le : mardi 24 juillet 2018 - 15:48:16
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  • HAL Id : inria-00624356, version 1

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Sofia Zaidenberg, Bernard Boulay, Carolina Garate, Duc Phu Chau, Etienne Corvee, et al.. Group interaction and group tracking for video-surveillance in underground railway stations. International Workshop on Behaviour Analysis and Video Understanding (ICVS 2011), Sep 2011, Sophia Antipolis, France. pp.10, 2011. 〈inria-00624356〉

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