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Approche spectrale et descripteur "couleur-position statistique" pour la ré-identification de personnes à travers un réseau de caméras
| Content Provider | Semantic Scholar |
|---|---|
| Author | Cong, Dung-Nghi Truong Khoudour, Louahdi Achard, Catherine |
| Copyright Year | 2009 |
| Abstract | The problem described in this paper consists in re-identifying moving people in different sites with non-overlapping views. Firstly, we propose a new feature called “color-position statistics” signature combined with several illuminant invariant methods in order to characterize extracted silhouettes in static images. Then, a graph-based approach which is capable of learning the global structure of the manifold and preserving the properties of the original data in a lower dimensional representation is introduced to reduce the effective working space and to carry out the comparison of the video sequences. The global system is tested on two real and difficult data sets recorded in very different environments. The experimental results show that the combination of color-based feature, invariant normalization procedures and the graphbased approach leads to very satisfactory results. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://documents.irevues.inist.fr/bitstream/handle/2042/29167/truongcong_411.pdf;jsessionid=C0AAAADDC73856DF4E10677AF3357DD1?sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
