Wang, Meiyuan, Li, Kun, Wu, Feng, Lai, Yukun  ORCID: https://orcid.org/0000-0002-2094-5680 and Jingyu, Yang
2017.
3-D motion recovery via low rank matrix analysis.
Presented at: IEEE International Conference on Visual Communications and Image Processing (VCIP),
Chengdu, China,
27-30 November 2016.
2016 Visual Communications and Image Processing (VCIP).
IEEE,
pp. 1-4.
10.1109/VCIP.2016.7805473
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Abstract
Skeleton tracking is a useful and popular application of Kinect. However, it cannot provide accurate reconstructions for complex motions, especially in the presence of occlusion. This paper proposes a new 3-D motion recovery method based on lowrank matrix analysis to correct invalid or corrupted motions. We address this problem by representing a motion sequence as a matrix, and introducing a convex low-rank matrix recovery model, which fixes erroneous entries and finds the correct low-rank matrix by minimizing nuclear norm and `1-norm of constituent clean motion and error matrices. Experimental results show that our method recovers the corrupted skeleton joints, achieving accurate and smooth reconstructions even for complicated motions.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Computer Science & Informatics |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Publisher: | IEEE |
| ISBN: | 9781509053179 |
| Related URLs: | |
| Date of First Compliant Deposit: | 27 August 2016 |
| Date of Acceptance: | 7 August 2016 |
| Last Modified: | 01 Nov 2022 11:10 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/94061 |
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