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Segmentation-based tracking methods are popular in alleviating the model drift problem during online-learning of visual trackers. However, one of the limitations of those methods is that tracking results guide the process of segmentation. The model drift problem in tracking may have significant influence on segmentation. In this paper, we propose an online structured Hough Forests to address this...
In this paper, we address the difficult task of moving objects segmentation and matting in dynamic scenes. Toward this end, we propose a new automatic way to integrate a background subtraction (BGS) and an alpha matting technique via a heuristic seeds selection scheme. Specifically, our method can be divided into three main steps. First, we use a novel BGS method as attention mechanisms, generating...
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