Gait recognition is an emerging long-distance biometric technology applied in many fields,
including video surveillance. The most recent gait recognition methods treat human …

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 …

Improving the performance of gait recognition under multiple camera views (ie, cross-view
gait recognition) and various conditions is urgent. From observation, we find that adjacent …

Gait recognition aims to identify people by the way they walk. Currently available gait
recognition datasets mainly contain single-person gait data in relatively simple walking …

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

Human identification plays a significant role in ensuring social security. However, face-
based and appearance-based retrieval methods are not effective in monitoring due to the …

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

Gait recognition is a crucial video-based biometric approach that allows for the identification
of pedestrians from the motion of their walk over a distance without direct contact. Despite …

Gait recognition aims at identifying different people by the walking patterns, which can be
conducted at a long distance without the cooperation of subjects. A key challenge for gait …

Gait recognition is an important biometric technology that identifies a person by using
walking posture. Recently, most gait recognition methods either take the human gait as a …