A New Appearance Signature for Real Time Person Re-identification

Appearance based person re-identification attracts the attention of researchers and presents an active research area for intelligent video surveillance systems. In this paper, we propose a new approach for person re-identification in multi-camera systems. This approach consists in computing a new person signature by extracting a texture descriptor, not from the entire body, but only from stripes selected automatically. In addition, in this work, unlike existing solutions using gray leveled body, we propose to compute the texture descriptor from HSV colored body. Our approach has been compared to state-of-the-art methods using the highly challenging VIPeR dataset. We prove from this comparative study, that the proposed approach improves both, time and quality performances of person re-identification.