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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...
In this paper, we propose an approach that fuses information from a network of visual sensors for the analysis of human social behavior. A discriminative interaction classifier is trained based on the relative head orientation and distance between a pair of people. Specifically, we explore human interaction detection at different levels of feature fusion and decision fusion. While feature fusion mitigates...
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