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Authors: Ahmed Derbel 1 ; Yousra Ben Jemaa 2 ; Sylvie Treuillet 3 ; Bruno Emile 3 ; Raphael Canals 3 and Abdelmajid Ben Hamadou 1

Affiliations: 1 SFAX University, Tunisia ; 2 TUNIS University, Tunisia ; 3 ORLEANS University, France

Keyword(s): People Identification and Tracking, Multi-camera, Cascade of Descriptors, AdaBoost, Cumulative Matching Characteristic.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Camera Networks and Vision ; Computer Vision, Visualization and Computer Graphics

Abstract: In this paper, we introduce a new approach to identify people in multi-camera based on AdaBoost descriptors cascade. Given the complexity of this task, we propose a new regional color feature vector based on intra and inter color histograms fusion to characterize a person in multi-camera. This descriptor is then integrated into an extensive comparative study with several existing color, texture and shape feature vectors in order to choose the best ones. We prove through a comparative study with the main existing approaches on the VIPeR dataset and using Cumulative Matching Characteristic measurement that the proposed approach is very suitable to identify a person and provides very satisfactory performances.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Derbel, A.; Jemaa, Y.; Treuillet, S.; Emile, B.; Canals, R. and Ben Hamadou, A. (2013). Robust Descriptors Fusion for Pedestrians’ Re-identification and Tracking Across a Camera Network. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP; ISBN 978-989-8565-48-8; ISSN 2184-4321, SciTePress, pages 92-97. DOI: 10.5220/0004275500920097

@conference{visapp13,
author={Ahmed Derbel. and Yousra Ben Jemaa. and Sylvie Treuillet. and Bruno Emile. and Raphael Canals. and Abdelmajid {Ben Hamadou}.},
title={Robust Descriptors Fusion for Pedestrians’ Re-identification and Tracking Across a Camera Network},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP},
year={2013},
pages={92-97},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004275500920097},
isbn={978-989-8565-48-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP
TI - Robust Descriptors Fusion for Pedestrians’ Re-identification and Tracking Across a Camera Network
SN - 978-989-8565-48-8
IS - 2184-4321
AU - Derbel, A.
AU - Jemaa, Y.
AU - Treuillet, S.
AU - Emile, B.
AU - Canals, R.
AU - Ben Hamadou, A.
PY - 2013
SP - 92
EP - 97
DO - 10.5220/0004275500920097
PB - SciTePress