GAITTAKE: Gait recognition by temporal attention and keypoint-guided embedding
Gait recognition, which refers to the recognition or identification of a person based on their
body shape and walking styles, derived from video data captured from a distance, is widely …
body shape and walking styles, derived from video data captured from a distance, is widely …
Multi-view gait recognition based on generative adversarial network
J Wen, Y Shen, J Yang - Neural Processing Letters, 2022 - Springer
We proposed a new multi-view gait recognition model based on the generative adversarial
network (GAN). Gait recognition has great advantages in long-distance human body …
network (GAN). Gait recognition has great advantages in long-distance human body …
Star: Spatio-temporal augmented relation network for gait recognition
Gait recognition is a promising long-distance biological recognition technology that is widely
used in public security and video surveillance. In the most recent literature, researchers use …
used in public security and video surveillance. In the most recent literature, researchers use …
Gait recognition with self-supervised learning of gait features based on vision transformers
Gait is a unique biometric trait with several useful properties. It can be recognized remotely
and without the cooperation of the individual, with low-resolution cameras, and it is difficult to …
and without the cooperation of the individual, with low-resolution cameras, and it is difficult to …
A gait-based real-time gender classification system using whole body joints
Gait-based gender classification is a challenging task since people may walk in different
directions with varying speed, gait style, and occluded joints. The majority of research …
directions with varying speed, gait style, and occluded joints. The majority of research …
Generalized inter-class loss for gait recognition
Gait recognition is a unique biometric technique that can be performed at a long distance
non-cooperatively and has broad applications in public safety and intelligent traffic systems …
non-cooperatively and has broad applications in public safety and intelligent traffic systems …
Sensor combination selection for human gait phase segmentation based on lower limb motion capture with body sensor network
Gait phase contains rich kinematic information of lower limbs, which has great reference
significance for rehabilitation medicine, assistive design, and identity recognition. This …
significance for rehabilitation medicine, assistive design, and identity recognition. This …
Advances in vision-based gait recognition: From handcrafted to deep learning
Identifying people's identity by using behavioral biometrics has attracted many researchers'
attention in the biometrics industry. Gait is a behavioral trait, whereby an individual is …
attention in the biometrics industry. Gait is a behavioral trait, whereby an individual is …
Realgait: Gait recognition for person re-identification
Human gait is considered a unique biometric identifier which can be acquired in a covert
manner at a distance. However, models trained on existing public domain gait datasets …
manner at a distance. However, models trained on existing public domain gait datasets …
Multi-stream part-fused graph convolutional networks for skeleton-based gait recognition
L Wang, J Chen, Z Chen, Y Liu, H Yang - Connection Science, 2022 - Taylor & Francis
Gait recognition, a task of identifying people through their walking pattern, has attracted
more and more researchers' attention. At present, most skeleton-based gait recognition …
more and more researchers' attention. At present, most skeleton-based gait recognition …