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Authors: Maria De Marsico 1 ; Riccardo Distasi 2 ; Stefano Ricciardi 2 and Daniel Riccio 3

Affiliations: 1 Sapienza Università di Roma, Italy ; 2 Università di Salerno, Italy ; 3 Università di Napoli, Italy

ISBN: 978-989-758-018-5

Keyword(s): Re-identification, Biometrics, Multiple Cameras Networks, Persistent Tracking, People Tracking.

Related Ontology Subjects/Areas/Topics: Applications ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Classification ; Multimedia ; Multimedia Signal Processing ; Pattern Recognition ; Telecommunications ; Theory and Methods

Abstract: Advanced surveillance applications often require to re-identify an individual. In the typical context of a camera network, this means to recognize a subject acquired at one location among a feasible set of candidates acquired at different locations and/or times. This task is especially challenging in applications targeted at crowded environments. Face and gait are contactless biometrics which are particularly suited to re-identification, but even “soft” biometrics have been considered to this aim. We present a review of approaches to re-identification, with some characteristic examples in literature. The goal is to provide an estimate of both the state-of-the-art and the potential of such techniques to further improve them and to extend the applicability of re-identification systems.

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Paper citation in several formats:
De Marsico M., Distasi R., Ricciardi S. and Riccio D. (2014). A Comparison of Approaches for Person Re-identification.In Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-018-5, pages 189-198. DOI: 10.5220/0004815201890198

@conference{icpram14,
author={Maria De Marsico and Riccardo Distasi and Stefano Ricciardi and Daniel Riccio},
title={A Comparison of Approaches for Person Re-identification},
booktitle={Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2014},
pages={189-198},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004815201890198},
isbn={978-989-758-018-5},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - A Comparison of Approaches for Person Re-identification
SN - 978-989-758-018-5
AU - De Marsico M.
AU - Distasi R.
AU - Ricciardi S.
AU - Riccio D.
PY - 2014
SP - 189
EP - 198
DO - 10.5220/0004815201890198

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