Enhancing Person Re-Identification via Uncertainty Feature Fusion and Wise Distance Aggregation

arXiv:2405.01101v1 Announce Type: new
Abstract: The quest for robust Person re-identification (Re-ID) systems capable of accurately identifying subjects across diverse scenarios remains a formidable challenge in surveillance and security applications. This study presents a novel methodology that significantly enhances Person Re-Identification (Re-ID) by integrating Uncertainty Feature Fusion (UFFM) with Wise Distance Aggregation (WDA). Tested on benchmark datasets - Market-1501, DukeMTMC-ReID, and MSMT17 - our approach demonstrates substantial improvements in Rank-1 accuracy and mean Average Precision (mAP). Specifically, UFFM capitalizes on …

abstract aggregation applications arxiv challenge cs.cv diverse feature fusion identification methodology novel person quest robust security study surveillance systems type uncertainty via wise