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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...
Robust tracking is a challenging problem, due to intrinsic appearance variability of objects caused by in-plane or out-plane rotation and extrinsic factors change such as illumination, occlusion, background clutter and local blur. In this paper, we present a novel framework which uses an on-line AdaBoost algorithm as PSO's fitness function to search object and attain the efficiency and robustness...
In this paper, we proposed an enhanced kernel based algorithm for visual tracking based on the video sequences captured from a fixed camera on the top of the scene. The technique presented here employs the image color intensity information and the local binary pattern (LBP) to construct a four dimensional histogram representative of the color intensity values and the texture of the target under study...
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