MOTION EXTRAPOLATION VIA HUMAN MOTION ANALYSIS

Authors

  • JOSEPH C. TSAI Department of Computer Sci. and Information Engineering, Tamkang University, Taiwan
  • HUI-HUANG HSU 1,2,3Department of Computer Sci. and Information Engineering, Tamkang University, Taiwan
  • SHIN-MING CHANG2 Department of Computer Sci. and Information Engineering, Tamkang University, Taiwan
  • YING-HONG WANG Department of Computer Sci. and Information Engineering, Tamkang University, Taiwan
  • CHIA CHENG CHAO Information Science department of National Taipei University of Education
  • TIMOTHY K. SHIH Department of Computer Science and Information Engineering, Asia University, Taiwan

Keywords:

Motion analysis, Object tracking, Object segmentation, Motion extrapolation

Abstract

We propose a novel motion analysis algorithm by using the mean-shift segmentation and motion estimation technique. Mean shift algorithm is frequently used to extract objects from video according to its efficiency and robustness of non-rigid object tracking. For diminishing the computational complexity in searching process, an efficient block matching algorithm: cross-diamond-hexagonal search algorithm was used. In the motion analysis procedure, the stick figure of object obtained by thinning process is treated as guidance to gather the statistics of motion information. The experimental results show that the proposed method can provide precise description of the behavior of object in several video sequences and extrapolate human motion seamlessly by combining different motion clips obtained from other video sequences.

 

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Published

2010-01-14

How to Cite

TSAI, J. C. ., HSU, H.-H. ., CHANG2, S.-M. ., WANG, Y.-H. ., CHAO, C. C., & SHIH, T. K. . (2010). MOTION EXTRAPOLATION VIA HUMAN MOTION ANALYSIS. Journal of Mobile Multimedia, 6(1), 063–072. Retrieved from https://journals.riverpublishers.com/index.php/JMM/article/view/4783

Issue

2010: Vol 6 Iss 1

Section

Articles