Lightweight multi-person motion capture system in the wild
Author:
Publisher
Science China Press., Co. Ltd.
Subject
Engineering (miscellaneous),General Computer Science
Link
https://engine.scichina.com/doi/pdf/4B417B34F27747A392F5EB5697D8D6FA
Reference62 articles.
1. Cerveri P, Rabuffetti M, Pedotti A. Real-time human motion estimation using biomechanical models and non-linear state-space filters. Med Biol Eng Comput, 2003, 41: 109-123.
2. Chen K, Wang Y, Zhang S H. MoCap-solver. ACM Trans Graph, 2021, 40: 1-11.
3. Holden D. Robust solving of optical motion capture data by denoising. ACM Trans Graph, 2018, 37: 1-12.
4. Yi X, Zhou Y, Xu F. TransPose. ACM Trans Graph, 2021, 40: 1-13.
5. Kanazawa A, Zhang J Y, Felsen P, et al. Learning 3D human dynamics from video. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019. 5607--5616.
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