| Title | Automatic motion capture data denoising via filtered subspace clustering and low rank matrix approximation |
| Creator | |
| Date Issued | 2014 |
| Source Publication | Signal Processing
 |
| ISSN | 0165-1684 |
| Volume | 105Pages:350-362 |
| Abstract | In this paper, we present an automatic Motion Capture (MoCap) data denoising approach via filtered subspace clustering and low rank matrix approximation. Within the proposed approach, we formulate the MoCap data denoising problem as a concatenation of piecewise motion matrix recovery problem. To this end, we first present a filtered subspace clustering approach to separate the noisy MoCap sequence into a group of disjoint piecewise motions, in which the moving trajectories of each piecewise motion always share the similar low dimensional subspace representation. Then, we employ the accelerated proximal gradient (APG) algorithm to find a complete low-rank matrix approximation to each noisy piecewise motion and further apply a moving average filter to smooth the moving trajectories between the connected motions. Finally, the whole noisy MoCap data can be automatically restored by a concatenation of all the recovered piecewise motions sequentially. The proposed approach does not need any physical information about the underling structure of MoCap data or require auxiliary data sets for training priors. The experimental results have shown an improved performance in comparison with the state-of-the-art competing approaches. © 2014 Elsevier B.V. |
| Keyword | Accelerated proximal gradient Filtered subspace clustering Low-rank matrix approximation MoCap data denoising Moving average filter |
| DOI | 10.1016/j.sigpro.2014.06.009 |
| URL | View source |
| Language | 英语English |
| Scopus ID | 2-s2.0-84904017309 |
| Citation statistics | |
| Document Type | Journal article |
| Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/6520 |
| Collection | Beijing Normal-Hong Kong Baptist University |
| Corresponding Author | Liu，Xin |
| Affiliation | 1.College of Computer Science and Technology,Huaqiao University,Xiamen,China 2.Department of Computer Science,Hong Kong Baptist University,Hong Kong SAR,Hong Kong 3.Institute of Computational and Theoretical Studies,Hong Kong Baptist University,Hong Kong SAR,Hong Kong 4.United International College,Beijing Normal University-Hong Kong Baptist University,China 5.Key Laboratory of Intelligent Information Processing,Chinese Academy of Sciences (CAS),Beijing,China |
| Recommended Citation GB/T 7714 | Liu，Xin,Cheung，Yiu Ming,Peng，Shu Juanet al. Automatic motion capture data denoising via filtered subspace clustering and low rank matrix approximation[J]. Signal Processing, 2014, 105: 350-362. |
| APA | Liu，Xin, Cheung，Yiu Ming, Peng，Shu Juan, Cui，Zhen, Zhong，Bineng, & Du，Ji Xiang. (2014). Automatic motion capture data denoising via filtered subspace clustering and low rank matrix approximation. Signal Processing, 105, 350-362. |
| MLA | Liu，Xin,et al."Automatic motion capture data denoising via filtered subspace clustering and low rank matrix approximation". Signal Processing 105(2014): 350-362. |
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