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 …

Extensive occlusions in real-world scenarios pose challenges to gait recognition due to
missing and noisy information, as well as body misalignment in position and scale. We …

Gait recognition is a biometric technology that distinguishes individuals by their walking
patterns. However, previous methods face challenges when accurately extracting identity …

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

Recent pose-based gait recognition methods, which utilize human skeletons as the model
input, have demonstrated significant potential in handling variations in clothing and …

Existing studies for gait recognition primarily utilized sequences of either binary silhouette or
human parsing to encode the shapes and dynamics of persons during walking. Silhouettes …

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 …

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 soft biotechnology to identify pedestrians observed from different
camera views based on specific walking patterns. However, various dressing and wearing …

Gait recognition is a significant biometric technique for person identification, particularly in
scenarios where other physiological biometrics are impractical or ineffective. In this paper …