Extensive occlusions in real-world scenarios pose challenges to gait recognition due to
missing and noisy information, as well as body misalignment in position and scale. We …

Gait recognition stands as a pivotal biometric technology in individual identification, yet its
real-world implementation faces challenges stemming from intra-subject disparities. The …

Gait recognition in the wild has received increasing attention since the gait pattern is hard to
disguise and can be captured in a long distance. However, due to occlusions and …

Traditional biometric techniques often require direct subject participation, limiting application
in various situations. In contrast, gait recognition allows for human identification via …

This paper addresses the issue of insufficient attention to multi-scale spatiotemporal features
in gait recognition algorithms for indoor scenes by designing a GaitTS (Gait Temporal …

Pedestrian re-identification is a crucial task in various safety applications, such as traffic
management, collision avoidance, and emergency response. One of the challenging issues …

Gait serves as an effective biometric for long-distance identification, particularly in scenarios
where other biometric techniques present limited results. Most of the current gait recognition …

In this work, we strictly follow ECCV ethical research standards and laws. During OccGait
collection, we obtain authorization from all subjects who are informed for academic data …