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 language | English (US) |
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Pages (from-to) | 935-941 |
Number of pages | 7 |
Journal | Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
State | Published - 1997 |
Externally published | Yes |
Event | Proceedings of the 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - San Juan, PR, USA Duration: Jun 17 1997 → Jun 19 1997 |
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition