Unsupervised Long Term Person Re-Identification

Unsupervised Long-Term Person Re-Identification is a sub-task in the field of computer vision that aims to match the identity of the same person across different cameras, clothing changes, and scenes by detecting and tracking individuals and utilizing their appearance and gait features, all without the need for labeled data. The goal of this task is to enhance the robustness and efficiency of multi-view non-overlapping surveillance systems, which has significant application value, such as in intelligent monitoring and security prevention.