DocumentCode
2206216
Title
Pose estimation of human body based on silhouette images
Author
Fan, Bin ; Wang, Zeng-Fu
Author_Institution
Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China
fYear
2004
fDate
21-25 June 2004
Firstpage
296
Lastpage
300
Abstract
A method for articulated-pose identification from the silhouette of a human body is presented in this paper. First the method employs an energy function to extract a dummy skeleton of a human body from the silhouette, and then estimates the position of the joints by the knowledge of anthropotomy and three rules given by the standard human skeleton model. The three rules can help us to judge whether a point on the skeleton is a joint or not. The experimental results show that, the method is effective. It requires no any additional restrictions on the motion and color of a human body. Meantime the method is robust against the noise in the silhouette. Especially it has good performance in the case of complicated background.
Keywords
anthropometry; feature extraction; motion estimation; anthropotomy knowledge; articulated-pose identification; human body; human skeleton model; pose estimation; silhouette images; Biological system modeling; Colored noise; Feature extraction; Humans; Image sequences; Joints; Motion analysis; Noise robustness; Robots; Skeleton;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Acquisition, 2004. Proceedings. International Conference on
Print_ISBN
0-7803-8629-9
Type
conf
DOI
10.1109/ICIA.2004.1373373
Filename
1373373
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