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Proceedings Paper

Recovery of 3D human posture from double views
Author(s): Yi Sun; Meihua Li; Yinghao He
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Paper Abstract

The 3-D estimation of human motion captured by a video camera(s) is becoming a challenging scientific task. In this paper, two important problems are addressed: the acquisition of 3-D coordinates of human's body parts, and the key-frame-based human motion prediction. To the key frames, a fuzzy pattern matching method is adopted to detect and get 2-D image coordinates of the face in each image sequence. After stereo matching of the same feature point, we use a binocular imaging model to accomplish the acquisition of 3-D coordinates of the head. Out of the key frames, we use a Kalman estimator to predict the motion of human body parts. At the end of the paper, the experimental result and discussion are given.

Paper Details

Date Published: 28 January 2004
PDF: 11 pages
Proc. SPIE 5208, Mathematics of Data/Image Coding, Compression, and Encryption VI, with Applications, (28 January 2004); doi: 10.1117/12.507133
Show Author Affiliations
Yi Sun, Dalian Univ. of Technology (China)
Meihua Li, Dalian Univ. of Technology (China)
Yinghao He, Dalian Univ. of Technology (China)


Published in SPIE Proceedings Vol. 5208:
Mathematics of Data/Image Coding, Compression, and Encryption VI, with Applications
Mark S. Schmalz, Editor(s)

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