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 re-construct 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.
Cite
CITATION STYLE
Yániz, C., Rocha, J., & Perales, F. (1998). 3D part recognition method for human motion analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1537, pp. 41–54). Springer Verlag. https://doi.org/10.1007/3-540-49384-0_4
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
