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Tracking targets in infrared images is a challenging subject due to the low contrast and severe noise. Kernel density estimation (KDE) with robust performance is one of the well-known tracking algorithms. In essence, tracking targets with KDE algorithm is tracking the statistical features of their pixels by the histograms. The universal KDE which can track any features of targets has not been developed...
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