FPGA-based Acceleration System for Visual Tracking

Oct 16, 2018 - extraction. The multidimensional features of the input sample f are composed of grayscale and HOG. arXiv:1810.05367v2 [cs.CV] 16 Oct 20...

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Jan 22, 2016 - Abstract—Sampling and budgeting training examples are two essential factors in tracking algorithms based on support vector machines (SVMs) as a tradeoff between accuracy and efficiency. Recently, the circulant matrix formed by dense

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Du Yong Kim is with the Department of Electrical and Computer. Engineering, Curtin ... able to provides track identities with completely new structure and evaluated using ..... LAB code with Intel 2.53GHz CPU laptop. ... best tracking results.

Mar 18, 2016 - Abstract—Graph based representation is widely used in visual tracking field by finding correct correspondences between target parts in consecutive frames. However, most graph based trackers consider pairwise geometric relations betwe

Aug 13, 2017 - line learn the target. Extensive experiments conducted on widely used benchmarks, OTB and VOT, demonstrate en- couraging results compared to ...... C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, et al. Tensorflow: Large-scale ma

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Oct 7, 2013 - get in a video sequence, a tracking task aims to infer the states of the target in the succeeding frames. Despite sig- ... [email protected]). work of [9] identifies the influential factors of a test se- .... to use the histograms of

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sor to better understand and diagnose visual tracking system. According to their research, effective feature representation plays significant role in a tracker.

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