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

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.
Document type :
Conference papers
Liste complète des métadonnées

Cited literature [13 references]  Display  Hide  Download

https://hal.inria.fr/inria-00332032
Contributor : Fabien Moutarde <>
Submitted on : Monday, October 20, 2008 - 11:54:59 AM
Last modification on : Monday, November 12, 2018 - 11:03:00 AM
Document(s) archivé(s) le : Monday, June 7, 2010 - 6:21:13 PM

File

MinesParisTech_PersonReidentif...
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00332032, version 1

Citation

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⟩

Share

Metrics

Record views

610

Files downloads

1545