Analyzing Articulated Motion Using Expectation-Maximization
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 935 - 941, June, 1997
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.
BibTeX
@conference{Rowley-1997-14394,author = {Henry Rowley and Jim Rehg},
title = {Analyzing Articulated Motion Using Expectation-Maximization},
booktitle = {Proceedings of (CVPR) Computer Vision and Pattern Recognition},
year = {1997},
month = {June},
pages = {935 - 941},
}
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