DocumentCode
2540291
Title
Analyzing articulated motion using expectation-maximization
Author
Rowley, Henry A. ; Rehg, James M.
Author_Institution
Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
1997
fDate
17-19 Jun 1997
Firstpage
935
Lastpage
941
Abstract
We present a novel application of the Expectation-Maximization algorithm to the global analysis of articulated motion. The approach utilizes a kinematic model to constrain the motion estimates, producing a segmentation of the flow field into parts with different articulated motions. Experiments with synthetic and real images are described
Keywords
image sequences; motion estimation; articulated motion analysis; expectation-maximization algorithm; kinematic model; motion estimates; real images; synthetic images; Biological system modeling; Face detection; Humans; Image motion analysis; Image segmentation; Kinematics; Motion analysis; Motion detection; Motion estimation; Motion measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
Conference_Location
San Juan
ISSN
1063-6919
Print_ISBN
0-8186-7822-4
Type
conf
DOI
10.1109/CVPR.1997.609440
Filename
609440
Link To Document