Analyzing articulated motion using Expectation-Maximization

Henry A. Rowley, James M. Rehg

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)935-941
Number of pages7
JournalProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
StatePublished - 1997
Externally publishedYes
EventProceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - San Juan, PR, USA
Duration: Jun 17 1997Jun 19 1997

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

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