Gait recognition is a biometric technique that identifies individuals by their unique walking
styles, which is suitable for unconstrained environments and has a wide range of …

Although gait recognition has drawn increasing research attention recently, it remains
challenging to learn discriminative temporal representation since the silhouette differences …

Gait recognition is beneficial for a variety of applications, including video surveillance, crime
scene investigation, and social security, to mention a few. However, gait recognition often …

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 …

Gait recognition is one of the most important biometric technologies and has been applied in
many fields. Recent gait recognition frameworks represent each gait frame by descriptors …

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 recognition, applied to identify individual walking patterns in a long-distance, is one of
the most promising video-based biometric technologies. At present, most gait recognition …

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 …

Gait recognition plays a vital role in human identification since gait is a unique biometric
feature that can be perceived at a distance. Although existing gait recognition methods can …

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