Occluded Person Re-Identification

Occluded Person Re-Identification (ReID) is an important task in the field of computer vision, aiming to match individuals through appearance features even when they are partially occluded. The goal of this task is to accurately identify partially occluded people in complex scenes, enhancing the robustness and precision of cross-camera tracking. It has a wide range of application values, such as intelligent surveillance, crowd management, and safety protection.