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Real-time, 3D estimation of human body postures from trinocular images
1999 / IEEE / 0-7695-0362-4
This item was taken from the IEEE Conference ' Real-time, 3D estimation of human body postures from trinocular images ' This paper proposes a new real-time method for estimating human postures in 3D from trinocular images. In this method, an upper body orientation detection and a heuristic contour analysis are performed on the human silhouettes extracted from the trinocular images so that representative points such as the top of the head can be located. The major joint positions are estimated based on a genetic algorithm based learning procedure. 3D coordinates of the representative points and joints are then obtained from the two views by evaluating the appropriateness of the three views. The proposed method implemented on a personal computer runs in real-time (30 frames/second). Experimental results show high estimation accuracies and the effectiveness of the view selection process.
Charge-coupled Image Sensors
Biological System Modeling
Charge Coupled Devices
Human Body Postures
Upper Body Orientation