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 …

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 aims at identifying the pedestrians at a long distance by their biometric gait
patterns. It is inherently challenging due to the various covariates and the properties of …

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 a prevalent and complex form of human motion plays a significant role in the field of
long-range pedestrian retrieval due to the unique characteristics inherent in individual …

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

Gait recognition is a rapidly advancing vision technique for person identification from a
distance. Prior studies predominantly employed relatively shallow networks to extract subtle …

Gait recognition is a promising biometric method that aims to identify pedestrians from their
unique walking patterns. Silhouette modality, renowned for its easy acquisition, simple …

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 …