Analyzing Articulated Motion Using Expectation-Maximization

Authors:
Henry A. Rowley;James M. Rehg
Affiliations:
-;-
Venue:
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Year:
1997

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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.