Gait recognition in the wild with dense 3d representations and a benchmark
Existing studies for gait recognition are dominated by 2D representations like the silhouette
or skeleton of the human body in constrained scenes. However, humans live and walk in the …
or skeleton of the human body in constrained scenes. However, humans live and walk in the …
Lidargait: Benchmarking 3d gait recognition with point clouds
Video-based gait recognition has achieved impressive results in constrained scenarios.
However, visual cameras neglect human 3D structure information, which limits the feasibility …
However, visual cameras neglect human 3D structure information, which limits the feasibility …
3d local convolutional neural networks for gait recognition
The goal of gait recognition is to learn the unique spatio-temporal pattern about the human
body shape from its temporal changing characteristics. As different body parts behave …
body shape from its temporal changing characteristics. As different body parts behave …
End-to-end model-based gait recognition
Most existing gait recognition approaches adopt a two-step procedure: a preprocessing step
to extract silhouettes or skeletons followed by recognition. In this paper, we propose an end …
to extract silhouettes or skeletons followed by recognition. In this paper, we propose an end …
Opengait: Revisiting gait recognition towards better practicality
Gait recognition is one of the most critical long-distance identification technologies and
increasingly gains popularity in both research and industry communities. Despite the …
increasingly gains popularity in both research and industry communities. Despite the …
Gait recognition via disentangled representation learning
Gait, the walking pattern of individuals, is one of the most important biometrics modalities.
Most of the existing gait recognition methods take silhouettes or articulated body models as …
Most of the existing gait recognition methods take silhouettes or articulated body models as …
Gait recognition using 3-d human body shape inference
Gait recognition, which identifies individuals based on their walking patterns, is an important
biometric technique since it can be observed from a distance and does not require the …
biometric technique since it can be observed from a distance and does not require the …
Gpgait: Generalized pose-based gait recognition
Recent works on pose-based gait recognition have demonstrated the potential of using such
simple information to achieve results comparable to silhouette-based methods. However …
simple information to achieve results comparable to silhouette-based methods. However …
Multi-modal gait recognition via effective spatial-temporal feature fusion
Y Cui, Y Kang - Proceedings of the IEEE/CVF Conference …, 2023 - openaccess.thecvf.com
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 …
The silhouettes-based method and the skeletons-based method are the two most popular …
End-to-end model-based gait recognition using synchronized multi-view pose constraint
We propose an end-to-end model-based cross-view gait recognition which employs pose
sequences and shapes extracted by human model fitting. Specifically, we consider a …
sequences and shapes extracted by human model fitting. Specifically, we consider a …