Improving bag-of-poses with semi-temporal pose descriptors for skeleton-based action recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
http://link.springer.com/article/10.1007/s00371-018-1489-7/fulltext.html
Reference74 articles.
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3. Amor, B.B., Su, J., Srivastava, A.: Action recognition using rate-invariant analysis of skeletal shape trajectories. IEEE Trans. Pattern Anal. Mach. Intell. 38(1), 1–13 (2016)
4. Cao, Z., Simon, T., Wei, S.E., Sheikh, Y.: Realtime multi-person 2d pose estimation using part affinity fields. arXiv preprint arXiv:1611.08050 (2016)
5. Chaaraoui, A.A., Padilla-Lpez, J.R., Climent-Prez, P., Flrez-Revuelta, F.: Evolutionary joint selection to improve human action recognition with rgb-d devices. Expert Syst. Appl. 41(3), 786–794 (2014)
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