Person Re-Identification

Person Re-Identification is a task in the field of computer vision that aims to match individual identities across different cameras or locations through video or image sequences. This task involves detecting and tracking people, and using features such as appearance, body shape, and clothing to efficiently and robustly identify the same person across multiple non-overlapping camera views. Its application value lies in improving the accuracy and efficiency of surveillance systems, intelligent security, and pedestrian retrieval.