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In this paper, we propose a novel and integrated framework to estimate human pose. Firstly, a pose cluster of the relative location between connected parts is applied before pictorial structure modeling, which can make each model more faithful and the whole estimation more flexible to various kinds of poses. And then, different from previous single global model, we propose the mixture pictorial structure...
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...
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