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WACV
2008
IEEE

Human Pose Estimation with Rotated Geometric Blur

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Human Pose Estimation with Rotated Geometric Blur
We consider the problem of estimating the pose of a human figure in a single image. Our method uses an exemplarmatching framework, where a test image is matched to a database of exemplars upon which body joint positions have been marked. We find the best matching exemplar for a test image by employing a variant of an existing deformable template matching framework. A hierarchical correspondence process is developed to improve the efficiency of the existing framework. Quantitative results on the CMU MoBo dataset verify the effectiveness of our approach.
Bo Chen, Nhan Nguyen, Greg Mori
Added 01 Jun 2010
Updated 01 Jun 2010
Type Conference
Year 2008
Where WACV
Authors Bo Chen, Nhan Nguyen, Greg Mori
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