Person re-identification using appearance classification

Authors:
Kheir-Eddine Aziz;Djamel Merad;Bernard Fertil
Affiliations:
LSIS - UMR CNRS 6168, Marseille Cedex, France;LSIS - UMR CNRS 6168, Marseille Cedex, France;LSIS - UMR CNRS 6168, Marseille Cedex, France
Venue:
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
Year:
2011

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Abstract

In this paper, we present a person re-identification method based on appearance classification. It consists a human silhouette comparison by characterizing and classification of a persons appearance (the front and the back appearance) using the geometric distance between the detected head of person and the camera. The combination of head detector with an orthogonal iteration algorithm to help head pose estimation and appearance classification is the novelty of our work. In this way, the is achieved robustness against viewpoint, illumination and clothes appearance changes. Our approach uses matching of interest-points descriptors based on fast cross-bin metric. The approach applies to situations where the number of people varies continuously, considering multiple images for each individual.