ICCV 2021 PAPER is available at Context-Sensitive-Temporal-Feature-Learning-for-Gait-Recognition.
Due to the 64 x 44 silhouettes are in a low resolution, the experiment results will oscillate from time to time. Therefore, we highly recommend you guys to conduct experiments with 128 x 88 resolution on CASIA-B dataset, which produces relatively stable results.
The dataset path can be set in config.py.
Train command:
python train.py
Inference command:
python test.py
Citation Format:
@inproceedings{huang2021context,
title={Context-Sensitive Temporal Feature Learning for Gait Recognition},
author={Huang, Xiaohu and Zhu, Duowang and Wang, Hao and Wang, Xinggang and Yang, Bo and He, Botao and Liu, Wenyu and Feng, Bin},
booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
pages={12909--12918},
year={2021}
}