Pose estimation and body segmentation based on hierarchical searching tree

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.