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Journal of Zhejiang University SCIENCE A 2000 Vol.1 No.1 P.1-7

http://doi.org/10.1631/jzus.2000.0001


VIDEO MOTION CAPTURE IN VBA--VIDEO-BASED ANIMATION


Author(s):  PAN Yun-he, ZHUANG Yue-ting, LIU Xiao-ming

Affiliation(s):  Microsoft Visual Perception Laboratory, Dept. of Computer Science, Yuquan Campus of Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   panyh@sun.zju.edu.cn, yzhuang@sun.zju.edu.cn

Key Words:  video, feature point, image difference, camera calibration, skeleton


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PAN Yun-he, ZHUANG Yue-ting, LIU Xiao-ming. VIDEO MOTION CAPTURE IN VBA--VIDEO-BASED ANIMATION[J]. Journal of Zhejiang University Science A, 2000, 1(1): 1-7.

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Abstract: 
Computer vision has very wide application in human motion capture research. This paper proposes a new approach to do motion capture in video. It is composed of image sequence based tracking of human feature points and the reconstruction of the three-dimension(3D) motion skeleton. First, every part of the human body from top to bottom is tracked on the basis of a human model. The image difference and a morph-block similarity algorithm based on subpixels are used. Then camera calibration is done using the line correspondences between the 3D model and the image. Finally the 3D motion skeleton is established by use of the model knowledge. This approach does not aim at a given mode of human motion. Rather, it analyzes large scale motion from frame to frame in complex, variational background, and sets up a 3D motion skeleton in the perspective projection. The experiment results are presented at the end of the paper.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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[7]Huang, T. S., Netravali, A. N.,1994. Motion and structure from feature correspondences: A review. Proceedings of The IEEE, 82(2):252-268.

[8]Ma Songde, and Zhang Zhengyou, 1998. Computer Vision: Compute Theory and Arithmetic Foundation. Science Press, Beijing, p.60-68.

[9]Rohr, K., 1993. Incremental recogniton of pedestrians from image sequences. In: Proc. IEEE Conf. Comput. Vision and Pattern Recogn., Allerton Press, New York,USA. p.8-13.

[10]Rourke, J.O., Badler, N.I., 1980. Model-based image analysis of human motion using constraint propagation. IEEE PAMI,2(6):522-536.

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