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Analyzing Articulated Motion Using Expectation-Maximization
H. Rowley and J. Rehg
IEEE Conference on Computer Vision and Pattern Recognition, June, 1997, pp. 935 - 941.

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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.

Text Reference

H. Rowley and J. Rehg, "Analyzing Articulated Motion Using Expectation-Maximization," IEEE Conference on Computer Vision and Pattern Recognition, June, 1997, pp. 935 - 941.

BibTeX Reference

@inproceedings{Rowley_1997_994,
   author = "Henry Rowley and Jim Rehg",
   title = "Analyzing Articulated Motion Using Expectation-Maximization",
   booktitle = "IEEE Conference on Computer Vision and Pattern Recognition",
   month = "June",
   year = "1997",
   pages = "935 - 941"
}