A graph-kernel method for re-identification

Abstract : Re-identification, that is recognizing that an object appear- ing in a scene is a reoccurrence of an object seen previously by the sys- tem (by the same camera or possibly by a different one) is a challenging problem in video surveillance. In this paper, the problem is addressed using a structural, graph-based representation of the objects of inter- est. A recently proposed graph kernel is adopted for extending to this representation the Principal Component Analyisis (PCA) technique. An experimental evaluation of the method has been performed on two video sequences from the publicly available PETS2009 database.
Type de document :
Communication dans un congrès
Mohamed Kamel University ofWaterloo, Department of Electrical and Computer Engineering, Waterloo, ON, Canada Aurélio Campilho University of Porto, Faculty of Engineering, Institute of Biomedical Engineering, Porto, Portugal. International Conference on Image Analysis and Recognition, Jun 2011, Burnaby, Canada. Springer Verlag Berlin, 6753, pp.173-182, 2011
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https://hal.archives-ouvertes.fr/hal-00770260
Contributeur : Luc Brun <>
Soumis le : vendredi 4 janvier 2013 - 19:30:40
Dernière modification le : jeudi 7 février 2019 - 17:41:21

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ICIAR2011.pdf
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  • HAL Id : hal-00770260, version 1

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Luc Brun, Donatello Conte, Pasquale Foggia, Mario Vento. A graph-kernel method for re-identification. Mohamed Kamel University ofWaterloo, Department of Electrical and Computer Engineering, Waterloo, ON, Canada Aurélio Campilho University of Porto, Faculty of Engineering, Institute of Biomedical Engineering, Porto, Portugal. International Conference on Image Analysis and Recognition, Jun 2011, Burnaby, Canada. Springer Verlag Berlin, 6753, pp.173-182, 2011. 〈hal-00770260〉

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