Structure-Regularized Compressive Tracking With Online Data-Driven Sampling
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DOI: 10.1109/tip.2017.2745205
Abstract: Being a powerful appearance model, compressive random projection derives effective Haar-like features from non-rotated 4-D-parameterized rectangles, thus supporting fast and reliable object tracking. In this paper, we show that such successful fast compressive tracking scheme… read more here.
Keywords: compressive tracking; driven sampling; data driven; structure regularized ... See more keywords