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--- |
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license: cc-by-nc-4.0 |
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language: |
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- en |
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tags: |
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- pose-based gait recognition |
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- identity recognition based on basketball actions |
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--- |
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Our paper: |
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### 《STGGait: A Graph Transformer Network for Pose-based Gait Recognition》, |
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has been accepted by: [IEEE International Conference on Multimedia & Expo 2025 (ICME 2025)](https://2025.ieeeicme.org/)! |
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We use the framework of [FastPoseGait](https://github.com/BNU-IVC/FastPoseGait?tab=readme-ov-file) and thank them for their contributions! |
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We follow the configuration files of [FastPoseGait](https://github.com/BNU-IVC/FastPoseGait?tab=readme-ov-file) during training and testing. |
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In addition, we retrain GaitGraph1/2, GaitTR, GPGait, and STGGait on the [CASIA-B Pose](https://www.scidb.cn/en/detail?dataSetId=8ec62efd66a544939e821edeccc1f35c) and [MultiSubjects-Gait](https://huggingface.co/datasets/Henu-Software/MultiSubjects-Gait) datasets. |
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### We will make the code publicly available after the conference. |
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### Model Curators |
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Authors of STGGait |
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* Wansong Qin |
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* Zhijie Han |
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* Yaru Li |
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### Citation Information |
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...... |
