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Compressive random projection is a powerful appearance model to derive effective Haar-like features from non-rotated 4D rectangles, which can support fast and reliable object tracking. In this paper, we show that such successful compressive tracking scheme can be further significantly improved by structural regularization. Specifically, we propose two effective structural regularizations. First, we...
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