Robust Visual Tracking via Pixel Classification and Integration


We propose a novel framework for tracking non-rigid objects via pixel classification and integration (PCI). Given a new input frame, the tracker first performs object classification on each pixel and then finds the region that has the highest integral of scores. There are several key advantages of the proposed approach: it is computationally very efficient… (More)
DOI: 10.1109/ICPR.2006.1019


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