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Real-Time Human Body Posture Estimation Using a Stereo Vision Embedded System

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3 Author(s)
Young-Keun Kim ; Department of Computer Software & Engineering, Korea University of Science and Technology ; Ho Chul Shin ; Jae Il Cho

This paper presents a real-time method to estimate upper human posture using a stereo vision embedded system. Because of using the stereo vision system that produces precise disparity image, it is possible to execute real-time posture estimation with high accuracy. Proposed method is as follows. By using image processing and trigonometry, the positions of head and hands were acquired and discriminated. Using these positions, shoulder positions are estimated. Finally, inverse kinematics is applied to estimate positions of elbows. The experimental result is presented to support validity of the real-time system and the algorithm.

Published in:

Computational Advances in Multi-Sensor Adaptive Processing, 2007. CAMPSAP 2007. 2nd IEEE International Workshop on

Date of Conference:

12-14 Dec. 2007