Object detection and data association are critical components in multi-object tracking (MOT)
systems. Despite the fact that the two components are dependent on each other, prior works …

Long-Term person re-identification (LT-reID) exposes extreme challenges because of the
longer time gaps between two recording footages where a person is likely to change …

Abstract Long-Term Person Re-Identification (LT-ReID) has become increasingly crucial in
computer vision and biometrics. In this work, we aim to extend LT-ReID beyond pedestrian …

Abstract Cloth-Changing Person Re-Identification (CCRe-ID) aims at matching an individual
across cameras after a long period of time presenting variations in clothing compounded …

Abstract Person Re-Identification (ReID) holds critical importance in computer vision with
pivotal applications in public safety and crime prevention. Traditional ReID methods reliant …

This paper studies the challenging person re-identification (Re-ID) task under the cloth-
changing scenario, where the same identity (ID) suffers from uncertain cloth changes. To …

Recent studies have seen significant advancements in the field of long-term person re-
identification (LT-reID) through the use of clothing-irrelevant or insensitive features. This …

Abstract Traditional approaches for Person Re-identification (Re-ID) rely heavily on
modeling the appearance of persons. This measure is unreliable over longer durations due …

Abstract Video-based Cloth-Changing Person Re-ID (VCCRe-ID) refers to a real-world Re-
ID problem where texture information like appearance or clothing becomes unreliable in …

Person Re-identification (ReID) has been extensively developed for a decade in order to
learn the association of images of the same person across non-overlap** camera views …