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Motion Capture using both Human Structural Characteristic and Inverse Kinematics  

Seo, Yung-Ho (School of Electronics and Computer Engineering, Chonnam National University)
Doo, Kyoung-Soo (Dept. of Image Engineering, Graduate School of Advanced Image Science, Multimedia, and film, Chung-Ang University)
Choi, Jong-Soo (Dept. of Image Engineering, Graduate School of Advanced Image Science, Multimedia, and film, Chung-Ang University)
Lee, Chil-Woo (School of Electronics and Computer Engineering, Chonnam National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.47, no.2, 2010 , pp. 20-32 More about this Journal
Abstract
Previous hardware devices to capture human motion have many limitations; expensive equipment, complexity of manipulation or constraints of human motion. In order to overcome these problems, real-time motion capture algorithms based on computer vision have been actively proposed. This paper presents an efficient analysis method of multiple view images for real-time motion capture. First, we detect the skin color regions of human being, and then correct the image coordinates of the regions by using camera calibration and epipolar geometry. Finally, we track the human body part and capture human motion using kalman filter. Experimental results show that the proposed algorithm can estimate a precise position of the human body.
Keywords
Motion capture; Epipolar geometry; Camera calibration; 3D reconstruction; Kalman Filter;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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