Hashing Based State Variation for Human Motion Segmentation-Reference-Cited by-同舟云学术

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Hashing Based State Variation for Human Motion Segmentation

Published:2017 Issue: Volume: Page:627-638
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Liu Yang,Feng Lin,Sun Muxin,Liu Shenglan

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-7305-2_53

Reference24 articles.

1. Chen, L., Wei, H., Ferryman, J.: A survey of human motion analysis using depth imagery. Pattern Recogn. Lett. 34(15), 1995–2006 (2013)

2. Wang, L., Hu, W., Tan, T.: Recent developments in human motion analysis. Pattern Recogn. 36(3), 585–601 (2003)

3. Simon, S.R.: Quantification of human motion: gait analysisbenefits and limitations to its application to clinical problems. J. Biomech. 37(12), 1869–1880 (2004)

4. Carranza, J., Theobalt, C., Magnor, M.A., et al.: Free-viewpoint video of human actors. In: ACM Transactions on Graphics (TOG), vol. 22, no. 3, pp. 569–577. ACM (2003)

5. Lee, J., Chai, J., Reitsma, P.S.A., et al.: Interactive control of avatars animated with human motion data. In: ACM Transactions on Graphics (TOG), vol. 21, no. 3, pp. 491–500. ACM (2002)

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1. Human Motion Capture Data Segmentation Based on ST-GCN;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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