Bimodal Person Re-identification in Multi-camera System

This paper introduces a new method to enhance person re-identification by combining person appearance and face modalities in a multi-camera system. The use of face modality requires a preprocessing step of face pose estimation. Therefore, we proposed a new method for face pose estimation in low-resolution context. As for the extraction of person appearance signature, it was performed on discriminant stripes selected automatically. We evaluated the proposed pose estimation method as well as the process of re-identification based on appearance and face modalities on the challenging VIPeR database. The experimental results show that the combination of person appearance and face modalities leads to promising results.