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Authors: Fouad bousetouane 1 ; Cina Motamed 2 and Lynda Dib 1

Affiliations: 1 Badji Mokhtar University, Algeria ; 2 LISIC Laboratory, France

ISBN: 978-989-8565-48-8

Keyword(s): Inter-camera Re-identification, Non-overlapping Views, Distributed Inferences, Low-level Contextual Cues, Brightness Transfer Function, Consensus-based Algorithm.

Related Ontology Subjects/Areas/Topics: Active and Robot Vision ; Applications and Services ; Camera Networks and Vision ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Motion, Tracking and Stereo Vision ; Pervasive Smart Cameras ; Tracking and Visual Navigation ; Video Surveillance and Event Detection

Abstract: Multi-object re-identification across cameras network with non-overlapping fields of view is a challenging problem. Firstly, the visual signature of the same object might be very different from one camera to another. Secondly, the blind zone between cameras creates the discontinuity in the observation of the same object in terms of locations and travelling times. Centralized inferences proposed in literature for inter-camera re-identification becomes insufficient in practice mostly with the requirement of real-time applications and dynamic cameras network. In this paper we present a completely distributed approach for inter-camera reidentification. The proposed approach based on the distributed inferences, where the set of smart-cameras collaborate to reach a consensus about the identities of objects circulating in the network. Local and global visual descriptors were combined into the proposed approach for inter-camera color mapping and invariant objects description. Experimental res ults of applying this approach show improvement in inter-camera reidentification and robustness in recovering from very complex conditions. (More)

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Paper citation in several formats:
bousetouane, F.; Motamed, C. and Dib, L. (2013). Consensus-based Inter-camera Re-identification - Across Non-overlapping Views.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 341-346. DOI: 10.5220/0004346803410346

@conference{visapp13,
author={Fouad bousetouane. and Cina Motamed. and Lynda Dib.},
title={Consensus-based Inter-camera Re-identification - Across Non-overlapping Views},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={341-346},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004346803410346},
isbn={978-989-8565-48-8},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - Consensus-based Inter-camera Re-identification - Across Non-overlapping Views
SN - 978-989-8565-48-8
AU - bousetouane, F.
AU - Motamed, C.
AU - Dib, L.
PY - 2013
SP - 341
EP - 346
DO - 10.5220/0004346803410346

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