CASIA-B Pose

We also provide the mapping relations between RGB frames and keypoint tensors to foster further development. More details can be seen in [github.com/BNU-IVC/FastPoseGait].[1] Jingdong Wang, Ke Sun, Tianheng Cheng, Borui Jiang, Chaorui Deng, Yang Zhao, Dong Liu, Yadong Mu, Mingkui Tan, Xinggang Wang, Wenyu Liu, and Bin Xiao. "Deep High-Resolution Representation Learning for Visual Recognition," in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, no. 10, pp. 3349-3364, 1 Oct. 2021, doi: 10.1109/TPAMI.2020.2983686.[2] Yanjie Li, Sen Yang, Peidong Liu, Shoukui Zhang, Yunxiao Wang, Zhicheng Wang, Wankou Yang, and Shu-Tao Xia. "SimCC: A Simple Coordinate Classification Perspective for Human Pose Estimation." Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part VI.

Cham: Springer Nature Switzerland, 2022.If you use our dataset in your research, please cite the corresponding paper:Yang Fu1, Shibei Meng1, Saihui Hou* and Xuecai Hu and Yongzhen Huang*. "GPGait: Generalized Pose-based Gait Recognition." arXiv preprint arXiv:2303.05234 (2023). (The first two authors contribute equally to this work)@article{fu2023gpgait,title={GPGait: Generalized Pose-based Gait Recognition},author={Fu, Yang and Meng, Shibei and Hou, Saihui and Hu, Xuecai and Huang, Yongzhen},journal={arXiv preprint arXiv:2303.05234},year={2023}}