Title :
Pose estimation and body segmentation based on hierarchical searching tree
Author :
Li, Shifeng ; Lu, Huchuan ; Ruan, Xiang ; Chen, Yen-wei
Author_Institution :
Dept. of Electron. Eng., Dalian Univ. of Technol., Dalian, China
Abstract :
In this paper, we propose a novel method for pose estimation and body segmentation. We estimate the partial configuration of adjacent parts instead of detecting each single part, which makes our method more robust and accurate. Further, we develop a general model to calculate the partial configuration. Besides, we present a tree-based hierarchical probabilistic method to derive the global optimal pose. Additionally, the coarse-to-fine strategy is employed to speed up the pose estimation in the whole procedure. After finishing pose estimation, the estimated pose is used to guide body segmentation. Experiments suggest that our method is efficient and effective for pose estimation and body segmentation simultaneously.
Keywords :
image segmentation; pose estimation; trees (mathematics); body segmentation; global optimal pose; hierarchical searching tree; pose estimation; tree-based hierarchical probabilistic method; Estimation; Head; Image segmentation; Legged locomotion; Shape; Torso; Training; body segmentation; pose estimation; tree-based searching;
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2011.6115670