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

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 suffici...

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Bibliographic Details
Main Authors: Hamdoun, O., Moutarde, F., Stanciulescu, B., Steux, B.
Format: Conference Proceeding
Language:English
Subjects:
camera networks
interest points
person identification and tracking
re-identification
Video-surveillance
Online Access:Request full text
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Summary: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 re- identification among hundreds of persons computationally feasible in less than ~ 1/5 second.
DOI:10.1109/ICDSC.2008.4635689