Cross View Person Re Identification

Cross-Modal Person Re-Identification is a multi-modal computer vision technology aimed at achieving cross-modal recognition and re-identification of the same target individual through heterogeneous data acquired from different sensors (such as images and videos). The core objective of this technology is to improve the accuracy of person matching under varying scenarios and device conditions, thereby enhancing the robustness and generalization capability of identity verification. Its application value is extensive, including intelligent surveillance, security authentication, human-computer interaction, and other fields, effectively elevating the intelligence level of systems and user experience.