Gait recognition is a biometric technology that has received extensive attention. Most
existing gait recognition algorithms are unimodal, and a few multimodal gait recognition …

Due to the inherent limitations of single modalities, multimodal fusion has become
increasingly popular in many computer vision fields, leveraging the complementary …

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 a distinctive biometric technique that can identify pedestrians by their
walking patterns from considerable distances. A critical challenge in gait recognition lies in …

Gait recognition captures gait patterns from the walking sequence of an individual for
identification. Most existing gait recognition methods learn features from silhouettes or …

Gait Recognition, as a long-distance biometric technique for identity recognition, has
attracted widespread attention in recent years. Previous academia typically employs minor …

Gait recognition is a technique to recognize subjects under long-distance conditions.
Existing gait recognition methods generally rely on extracting different motion …

It is a challenging task to identify a person based on her/his gait patterns. State-of-the-art
approaches rely on the analysis of temporal or spatial characteristics of gait, and gait …

Gait recognition in the wild has attracted the attention of the academic community. However,
existing unimodal algorithms cannot achieve the same performance on in-the-wild datasets …

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 …