DocumentCode
1742709
Title
3D motion estimation of human by genetic algorithm
Author
Pan, Chunhong ; Ma, Songde
Author_Institution
Nat. Lab. of Pattern Recognition, Acad. of Sci., Beijing, China
Volume
1
fYear
2000
fDate
2000
Firstpage
159
Abstract
In this paper we show that based on coplanar constraint the motion and structure of the articulated object can be determined within a scale factor from a monocular sequence of images. By genetic algorithm we achieve the unique robust numerical solution to motion estimation of the coplanar links. Then we apply the techniques to human motion analysis, and obtain the 3D motion data of joints, reanimate successfully the data. The experiments with simulated data and real images are included to demonstrate the validity of the theoretic results
Keywords
biomechanics; genetic algorithms; image sequences; motion estimation; 3D human motion estimation; GA; coplanar constraint; coplanar links; genetic algorithm; human motion analysis; monocular image sequence; real images; scale factor; simulated data; unique robust numerical solution; Animation; Automation; Cameras; Genetic algorithms; Humans; Joints; Laboratories; Leg; Motion analysis; Motion estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.905295
Filename
905295
Link To Document