Motion extrapolation via human motion analysis

Authors:
Joseph C. Tsai;Hui-Huang Hsu;Shih-Ming Chang;Ying-Hong Wang;Chia-Cheng Chao;Timothy K. Shih
Affiliations:
Department of Computer Sci. and Information Engineering, Tamkang University, Taiwan;Department of Computer Sci. and Information Engineering, Tamkang University, Taiwan;Department of Computer Sci. and Information Engineering, Tamkang University, Taiwan;Department of Computer Sci. and Information Engineering, Tamkang University, Taiwan;Information Science department of National Taipei University of Education;Department of Computer Science and Information Engineering, Asia University, Taiwan
Venue:
Journal of Mobile Multimedia
Year:
2010

Citing 3
Cited 0

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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.