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

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

The goal of gait recognition is to identify a person from a distance based on their walking
style using a visual camera. However, the covariates such as a walk with carrying a bag and …

Gait recognition (GR) is a growing biometric modality used for person identification from a
distance through visual cameras. GR provides a secure and reliable alternative to fingerprint …

Background: Neurological diseases are a leading cause of disability and mortality. Gait, or
human walking, is a significant predictor of quality of life, morbidity, and mortality. Gait …

Gait recognition provides the opportunity to identify different walking styles of people without
physical intervention. However, covariates such as changing clothes and carrying conditions …

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 studies for gait recognition are dominated by in-the-lab scenarios. Since people live
in real-world senses, gait recognition in the wild is a more practical problem that has recently …

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

Most gait recognition methods exploit spatial-temporal representations from static
appearances and dynamic walking patterns. However, we observe that many part-based …