Gait recognition aims to identify a person at a distance, serving as a promising solution for
long-distance and less-cooperation pedestrian recognition. Recently, significant advances …

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

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 …

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

Gait recognition, which aims at identifying individuals by their walking patterns, has
achieved great success based on silhouette. The binary silhouette sequence encodes the …

Many gait recognition methods first partition the human gait into N-parts and then combine
them to establish part-based feature representations. Their gait recognition performance is …

Gait recognition aims to distinguish different walking patterns by analyzing video-level
human silhouettes, rather than relying on appearance information. Previous research on gait …

Gait recognition is an active research area that uses a walking theme to identify the subject
correctly. Human Gait Recognition (HGR) is performed without any cooperation from the …

LiDAR is a new type of sensor used for gait recognition. Previous LiDAR-based state-of-the-
art methods mostly exploit gait features from the depth maps generated by projecting point …

Most works for cloth-changing gait recognition assume that the sequences of different
clothes are accessible for each subject in the training set, which, however, is almost …