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




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1 CAOR - Centre de Robotique

Abstract : 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.





Author: Omar Hamdoun - Fabien Moutarde - Bogdan Stanciulescu - Bruno Steux -

Source: https://hal.archives-ouvertes.fr/



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