Recovery of 3D human posture from double views

Yi Sun; Meihua Li; Yinghao He

doi:10.1117/12.507133

28 January 2004 Recovery of 3D human posture from double views

Yi Sun, Meihua Li, Yinghao He

Author Affiliations +

Proceedings Volume 5208, Mathematics of Data/Image Coding, Compression, and Encryption VI, with Applications; (2004) https://doi.org/10.1117/12.507133
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

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.

Citation Download Citation

Yi Sun, Meihua Li, and Yinghao He "Recovery of 3D human posture from double views", Proc. SPIE 5208, Mathematics of Data/Image Coding, Compression, and Encryption VI, with Applications, (28 January 2004); https://doi.org/10.1117/12.507133

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