Author:
Shen Shu, ,Zhang Wenhao,Ding Hao,Zhang Hao,Sha Chao,Wang Sen,Chen Shujun, ,
Publisher
Aerospace Information Research Institute, Chinese Academy of Sciences
Reference42 articles.
1. An W Z, Yu S Q, Makihara Y, Wu X H, Xu C, Yu Y, Liao R J and Yagi Y. 2020. Performance evaluation of model-based gait on multi-view very large population database with pose sequences. IEEE Transactions on Biometrics, Behavior, and Identity Science, 2(4): 421-430 [DOI: 10.1109/TBIOM.2020.3008862]
2. Caesar H, Bankiti V, Lang A H, Vora S, Liong V E, Xu Q, Krishnan A, Pan Y, Baldan G and Beijbom O. 2020. nuScenes: a multimodal dataset for autonomous driving//Proceedings of 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, USA: IEEE:11618-11628 [DOI: 10.1109/CVPR42600.2020.01164]
3. Chao H Q, Wang K, He Y W, Zhang J P and Feng J F. 2022. GaitSet: cross-view gait recognition through utilizing gait as a deep set. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(7): 3467-3478 [DOI: 10.1109/TPAMI.2021.3057879]
4. Chen C H and Ramanan D. 2017. 3D human pose estimation = 2D pose estimation + matching//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Honolulu, USA: IEEE:7035-7043 [DOI: 10.1109/CVPR.2017.610]
5. Deng M Q, Wang C and Chen Q F. 2016. Human gait recognition based on deterministic learning through multiple views fusion. Pattern Recognition Letters, 78: 56-63 [DOI: 10.1016/j.patrec.2016.04.004]