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视频跟踪论文We consider the problem of visual tracking of regions of interestin a sequence of motion blurred images. Traditionalmethods couple tracking with deblurring in order to correctlyaccount for the effects of motion blur. Such couplingis usually appropriate, but computationally wasteful whenvisual tracking is the lone objective. Instead of deblurringimages, we propose to match regions by blurring them. Thematching score for two image regions is governed by a costfunction that only involves the
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