RGB-Infrared Cross-Modality Person Re-identification

Person re-identification (Re-ID) is an important problem in video surveillance, aiming to match pedestrian images across camera views. Currently, most works focus on RGB-based Re-ID. However, in some applications, RGB images are not suitable, e.g. in a dark environment or at night. Infrared (IR) imaging becomes necessary in many visual systems. To that end, matching RGB images with infrared images is required, which are heterogeneous with very different visual characteristics. For person Re-ID, this is a very challenging cross-modality problem that has not been studied so far. In this work, we address the RGB-IR cross-modality Re-ID problem and contribute a new multiple modality Re-ID dataset named SYSU-MM01,…

• NN
  National Natural Science Foundation of China

  Awards: 61522115, 61573387, U1611461, 61661130157, 61472456
• NK
  National Key Research and Development Program of China

  Award: 2016YFB1001002