Analyzing articulated motion using expectation-maximization

被引：11
|
作者：
Rowley, HA
Rehg, JM
机构：
来源：
1997 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS | 1997年
关键词：
D O I：
10.1109/CVPR.1997.609440
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：935 / 941
页数：7
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