People Re-identification by Graph Kernel Methods

Luc Brun 1 Donatello Conte 2 Pasquale Foggia 2 Mario Vento 2
1 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
Abstract : People re-identification using single or multiple camera acquisitions constitutes a major challenge in visual surveillance analysis. The main application of this research field consists to reacquire a person of interest in different non-overlapping locations over different camera views. This paper present an original solution to this problem based on a graph description of each person. In particular, a recently proposed graph kernel is used to apply Principal Component Analysis (PCA) to the graph domain. The method has been experimentally tested on two video sequences from the PETS2009 database.
Type de document :
Communication dans un congrès
Xiaoyi Jiang, Miquel Ferrer and Andrea Torsello. Graph Based Representations, May 2011, Munster, Germany. Springer, pp.285-294, 2011, LNCS
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https://hal.archives-ouvertes.fr/hal-00680229
Contributeur : Luc Brun <>
Soumis le : dimanche 18 mars 2012 - 18:20:43
Dernière modification le : jeudi 7 février 2019 - 17:40:37
Document(s) archivé(s) le : mercredi 14 décembre 2016 - 14:17:02

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  • HAL Id : hal-00680229, version 1

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Luc Brun, Donatello Conte, Pasquale Foggia, Mario Vento. People Re-identification by Graph Kernel Methods. Xiaoyi Jiang, Miquel Ferrer and Andrea Torsello. Graph Based Representations, May 2011, Munster, Germany. Springer, pp.285-294, 2011, LNCS. 〈hal-00680229〉

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