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Authors: Boris Meden 1 ; Frédéric Lerasle 2 ; Patrick Sayd 1 and Christophe Gabard 1

Affiliations: 1 CEA, France ; 2 CNRS, LAAS and Université de Toulouse, France

ISBN: 978-989-8565-04-4

ISSN: 2184-4321

Keyword(s): Reidentification, Tracking, Camera Network, Non-overlapping Fields of View, Particle Filtering.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Camera Networks and Vision ; Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Tracking and Visual Navigation ; Video Surveillance and Event Detection

Abstract: This article tackles the problem of automatic multi-pedestrian tracking in non-overlapping fields of view camera networks, using monocular, uncalibrated cameras. Tracking is locally addressed by a Tracking-by- Detection and reidentification algorithm. We propose here to introduce the concept of global identity into a multi-target tracking algorithm, qualifying people at the network level, to allow us to rebound observation discontinuities. We embed that identity into the tracking loop thanks to the mixed-state particle filter framework, thus including it in the search space. Doing so, each tracker maintains a mutli-modality on the identity in the network of its target. We increase the decision strength introducing a high level decision scheme which integrates all the trackers hypothesis over all the cameras of the network with previous reidentification results and the topology of the network. The tracking and reidentification module is first tested with a single camera. We then evalua te the whole framework on a 3 non-overlapping fields of view network with 7 identities. The only a priori knowledge assumed is a topological map of the network. (More)

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Paper citation in several formats:
Meden, B.; Lerasle, F.; Sayd, P. and Gabard, C. (2012). TRACKING-BY-REIDENTIFICATION IN A NON-OVERLAPPING FIELDS OF VIEW CAMERAS NETWORK.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-04-4, ISSN 2184-4321, pages 95-103. DOI: 10.5220/0003818300950103

@conference{visapp12,
author={Boris Meden. and Frédéric Lerasle. and Patrick Sayd. and Christophe Gabard.},
title={TRACKING-BY-REIDENTIFICATION IN A NON-OVERLAPPING FIELDS OF VIEW CAMERAS NETWORK},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={95-103},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003818300950103},
isbn={978-989-8565-04-4},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - TRACKING-BY-REIDENTIFICATION IN A NON-OVERLAPPING FIELDS OF VIEW CAMERAS NETWORK
SN - 978-989-8565-04-4
AU - Meden, B.
AU - Lerasle, F.
AU - Sayd, P.
AU - Gabard, C.
PY - 2012
SP - 95
EP - 103
DO - 10.5220/0003818300950103

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