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 has received extensive attention. Most
existing gait recognition algorithms are unimodal, and a few multimodal gait recognition …

Gait recognition is a promising biometric technology for identification due to its non-
invasiveness and long-distance. However, external variations such as clothing changes and …

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 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 …

Multimodal systems for gait recognition have gained a lot of attention. However, there is a
clear gap in the study of missing modalities, which represents real-life scenarios where …

Gait recognition is a biometric technology that identifies individuals by using walking
patterns. Due to the significant achievements of multimodal fusion in gait recognition, we …

Gait recognition systems typically rely solely on silhouettes for extracting gait signatures.
Nevertheless, these approaches struggle with changes in body shape and dynamic …

Multimodal gait recognition aims to utilize various gait modalities for identity recognition.
Previous methods have focused on designing complex fusion techniques. However, the …

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 …