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SCIENCE CHINA Information Sciences, Volume 65 , Issue 1 : 119103(2022) https://doi.org/10.1007/s11432-020-2967-3

Human motion segmentation based on structure constraint matrix factorization

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  • ReceivedJan 24, 2020
  • AcceptedJun 12, 2020
  • PublishedFeb 1, 2021

Abstract

There is no abstract available for this article.


References

[1] Li S, Li K, Fu Y. Temporal subspace clustering for human motion segmentation. In: Proceedings of the IEEE International Conference on Computer Vision, Santiago, 2015. 4453--44561. Google Scholar

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[5] Wang L, Ding Z, Fu Y. Low-Rank Transfer Human Motion Segmentation. IEEE Trans Image Process, 2019, 28: 1023-1034 CrossRef ADS Google Scholar

  • Figure 1

    (Color online) The framework of the proposed method. (a) Input data and parameters; (b) find the low-dimensional representation of $X:H$; (c) clustering and video segmentation; (d) output segmentation results.