Abstract
A method for matching sequences from two perspective views of a moving person silhouette is presented. Regular (approximate uniform thickness) parts are detected on an image and a skeleton is generated. A 3D regular region graph is defined to gather possible poses based on the two 2D-regular regions, one for each view, at a given frame. The matching process of 3D graphs with a model graph results in interpretations of the human motion in the scene. The objective of this system is to reconstruct human motion parameters and use the analytical information for synthesis. Experimental results and error analysis are explained when the system is used to drive an avatar.
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© 1998 Springer-Verlag Berlin Heidelberg1998
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Yániz, C., Rocha, J., Perales, F. (1998). 3D Part Recognition Method for Human Motion Analysis. In: Magnenat-Thalmann, N., Thalmann, D. (eds) Modelling and Motion Capture Techniques for Virtual Environments. CAPTECH 1998. Lecture Notes in Computer Science(), vol 1537. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49384-0_4
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DOI: https://doi.org/10.1007/3-540-49384-0_4
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