Large-Scale Person Re-Identification

Large-Scale Person Re-Identification is a key technology in the field of computer vision, aimed at accurately identifying the same person across different cameras and scenes. This technology achieves individual tracking and retrieval in large-scale surveillance networks by extracting and matching feature information of pedestrians, which is of great application value for enhancing public safety, optimizing urban management, and strengthening intelligent security systems.