GitHub - tteepe/GaitGraph: Official repository for "GaitGraph: Graph ...
2021年1月28日 · GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition. Torben Teepe, Ali Khan, Johannes Gilg, Fabian Herzog, Stefan Hörmann. First, create a virtual environment or install dependencies directly with: The extraction of the pose data from CASIA-B can either run the commands bellow or download the preprocessed data using:
GaitGraph2: Towards a Deeper Understanding of Skeleton-based Gait …
Official code for "Towards a Deeper Understanding of Skeleton-based Gait Recognition" (CVPRW'22)
CGA Normative Gait Database - Clinical Gait Analysis
Repository of normative gait analysis data from around the world, from subscribers to the Clinical Gait Analysis email list.
GaitGraph: Graph Convolutional Network for Skeleton-Based Gait …
2021年1月27日 · We leverage recent advances in human pose estimation to estimate robust skeleton poses directly from RGB images to bring back model-based gait recognition with a cleaner representation of gait. Thus, we propose GaitGraph that combines skeleton poses with Graph Convolutional Network (GCN) to obtain a modern …
Gait recognition is a promising video-based biometric for identifying individual walking patterns from a long distance. At present, most gait recognition methods use silhouette im-
A full-body motion capture gait dataset of 138 able-bodied adults ...
2023年12月1日 · These records are valuable to examine ageing, typical and hemiplegic gait, while also offering a wide range of reference data which can be utilized for age-matched controls during normal...
A multimodal dataset of human gait at different walking speeds ...
2019年7月3日 · The proposed dataset of human gait has been established on 50 adults healthy and injury-free for lower and upper extremities in the most recent six months, with no lower and upper extremity ...
GaitGraph: Official repository for "GaitGraph: Graph Convolutional ...
GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition. Torben Teepe, Ali Khan, Johannes Gilg, Fabian Herzog, Stefan Hörmann. First, create a virtual environment or …
Gaitgraph: Graph Convolutional Network for Skeleton-Based Gait ...
Gait recognition is a promising video-based biometric for identifying individual walking patterns from a long distance. At present, most gait recognition method.
GaitGraph: Graph Convolutional Network for Skeleton-Based Gait …
2024年3月1日 · We leverage recent advances in human pose estimation to estimate robust skeleton poses directly from RGB images to bring back model-based gait recognition with a cleaner representation of gait. Thus, we propose GaitGraph that combines skeleton poses with Graph Convolutional Network (GCN) to obtain a modern …