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 …

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 recognition stands as one of the most pivotal remote identification technologies and
progressively expands across research and industry communities. However existing gait …

Gait recognition is a biometric technology that identifies people by their walking patterns.
The silhouettes-based method and the skeletons-based method are the two most popular …

The choice of the representations is essential for deep gait recognition methods. The binary
silhouettes and skeletal coordinates are two dominant representations in recent literature …

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

Gait recognition is an emerging biometric technology for identifying pedestrians based on
their unique walking patterns. In past gait recognition, global-based methods are inadequate …

Graph convolutional networks have been widely applied in skeleton-based gait recognition.
A key challenge in this task is to distinguish the individual walking styles of different subjects …

Gait recognition is a prominent biometric recognition technique extensively employed in
public security. Appearance-based and model-based gait recognition are two categories of …

Whole-body-based human authentication is a promising approach for remote biometrics
scenarios. Current literature focuses on either body recognition based on RGB images or …