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This letter introduces a novel two-pass structural grouping algorithm and casts visual tracking as foreground superpixels grouping problem. In the first step, pairwise superpixel grouping is conducted in four orientations. Grouping prototypes containing the prior information of foreground and background are generated to determine whether any pair of neighboring superpixels should be grouped together...
This paper proposes a Co-training Multiple Instance Learning algorithm (CoMIL). Our framework is based on the co-training approach which labels incoming data continuously, and then uses the prediction from each classifier to enlarge the training set of the other. The discriminative classifier is implemented using online multiple instance learning (MIL), which can deal with inaccurate positive samples...
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