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3-D Skeleton Recovery via Sparse Representation
WANG Meiyuan 1,LI Kun 2 * #,YANG Jingyu 1,WU Feng 3,LAI Yu-kun 4
1.School of Electronic Information Engineering, Tianjin University, Tianjin 300072
2.School of Computer Science and Technology, Tianjin University, Tianjin 300350, China
3.School of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230026, China
4.School of Computer Science & Informatics, Cardiff University, Cardiff CF24 3AA, UK
*Correspondence author
#Submitted by
Subject:
Funding: Ph.D. Programs Foundation of Ministry of Education of China （No.20120032120040）
Opened online:24 May 2016
Accepted by: none
Citation: WANG Meiyuan,LI Kun,YANG Jingyu.3-D Skeleton Recovery via Sparse Representation[OL]. [24 May 2016] http://en.paper.edu.cn/en_releasepaper/content/4689753
 
 
Skeleton tracking is a useful and popular application of Kinect. However, it cannot provide accurate reconstructions for complex motions, especially in the case of occlusion. This paper proposes a new 3-D motion recovery method based on low-rank matrix analysis to correct the invalid or corrupt motions. We address this problem by introducing a convex low-rank matrix recovery model, which finds the correct low-rank matrix by fixing its erroneous entries through minimizing the sum of L1-norm and nuclear norm. Experimental results show that our method recovers the corrupted skeleton joints, achieving accurate and smooth reconstructions for complicated motions.?????
Keywords:Skeleton, Kinect, occlusion, motion recovery, low rank
 
 
 

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