Title :
Analyzing articulated motion using expectation-maximization
Author :
Rowley, Henry A. ; Rehg, James M.
Author_Institution :
Carnegie Mellon Univ., Pittsburgh, PA, USA
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;
Conference_Titel :
Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
Conference_Location :
San Juan
Print_ISBN :
0-8186-7822-4
DOI :
10.1109/CVPR.1997.609440
