DANet: dual association network for human pose estimation in video
Author:
Funder
Fundamental Research Funds for the Central Universities
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17072-4.pdf
Reference54 articles.
1. Bao Q, Liu W, Cheng Y et al (2021) Pose-guided tracking-by-detection: robust multi-person pose tracking. IEEE Transactions on Multimedia 23:161–175. https://doi.org/10.1109/TMM.2020.2980194
2. Cao Z, Simon T, Wei SE et al (2017) Realtime multi-person 2d pose estimation using part affinity fields. In: CVPR
3. Dang Y, Yin J, Zhang S (2021) Relation-based associative joint location for human pose estimation in videos. IEEE Trans Image Process 31:3973–3986
4. Doering A, Iqbal U, Gall J (2018) Joint flow: Temporal flow fields for multi person tracking. ArXiv abs/1805.04596
5. Fang H, Xie S, Tai YW et al (2016) Rmpe: regional multi-person pose estimation. 2017 IEEE International conference on computer vision (ICCV) pp 2353–2362
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