Person re-identification in multi-camera system by signature based on interest point descriptors collected on short video sequences

Omar Hamdoun (1) , Fabien Moutarde (1) , Bogdan Stanciulescu (1) , Bruno Steux (1)

1 CAOR - Centre de Robotique

We present and evaluate a person re-identification scheme for multi-camera surveillance system. Our approach uses matching of signatures based on interest-points descriptors collected on short video sequences. One of the originalities of our method is to accumulate interest points on several sufficiently time-spaced images during person tracking within each camera, in order to capture appearance variability. A first experimental evaluation conducted on a publicly available set of low-resolution videos in a commercial mall shows very promising inter-camera person re-identification performances (a precision of 82% for a recall of 78%). It should also be noted that our matching method is very fast: ~ 1/8s for re-identification of one target person among 10 previously seen persons, and a logarithmic dependence with the number of stored person models, making reidentification among hundreds of persons computationally feasible in less than ~ 1/5 second.

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]

Omar Hamdoun, Fabien Moutarde, Bogdan Stanciulescu, Bruno Steux. Person re-identification in multi-camera system by signature based on interest point descriptors collected on short video sequences. 2nd ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC-08), Sep 2008, Stanford, Palo Alto, United States. ⟨inria-00332032⟩