Unsupervised Person Re-Identification

Unsupervised person re-identification (re-ID) is an important research direction in the field of computer vision, aiming to automatically extract and match features of the same pedestrian captured by different cameras without the need for labeled data, to achieve cross-camera pedestrian identity recognition. This technology can significantly reduce the annotation costs of large-scale surveillance systems, improve the efficiency and accuracy of pedestrian retrieval, and has broad application prospects, especially in intelligent security, urban management, and business intelligence fields.