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In this paper, we propose an object tracking method through deep learning-based confidence evaluation, aiming at correctly updating an object template and on-line training a deep neural network. Our method updats both a deep neural network and a detector in Tracking-Learning-Detection(TLD) framework by robustly finding object regions highly similar to the(More)
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