Gait recognition aims at identifying a person at a distance through visual cameras. With the
emergence of deep learning, significant advancements in gait recognition have achieved …

Gait recognition is one of the most critical long-distance identification technologies and
increasingly gains popularity in both research and industry communities. Despite the …

Gait is one of the most promising biometrics that aims to identify pedestrians from their
walking patterns. However, prevailing methods are susceptible to confounders, resulting in …

Video-based gait recognition has achieved impressive results in constrained scenarios.
However, visual cameras neglect human 3D structure information, which limits the feasibility …

Partial occlusion of the human body caused by obstacles or a limited camera field of view
often occurs in surveillance videos, which affects the performance of gait recognition in …

Recent works on pose-based gait recognition have demonstrated the potential of using such
simple information to achieve results comparable to silhouette-based methods. However …

Gait recognition, which identifies individuals based on their walking patterns, is an important
biometric technique since it can be observed from a distance and does not require the …

Gait recognition is a biometric technology that recognizes the identity of humans through
their walking patterns. Compared with other biometric technologies, gait recognition is more …

Gait depicts individuals' unique and distinguishing walking patterns and has become one of
the most promising biometric features for human identification. As a fine-grained recognition …

Existing gait recognition methods either directly establish Global Feature Representation
(GFR) from original gait sequences or generate Local Feature Representation (LFR) from …