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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Nov 21, 2016 - ing situations of similar background on sequences Coupon and. Box [49]. Our tracker takes structure information of both target object and background into account, and performs more robustly to similar distractors or background clutter

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Aug 13, 2017 - for visual tracking, which maps an exemplar of the target and a larger search area of second frame to a response map. In contrast to these methods, which do not have an online updating scheme that adapts the tracker to variations in th

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Dec 19, 2016 - of-the-arts. Index Terms—Visual Tracking, Deep Neural Network, Inde- pendent Component Analysis with Reference. I. INTRODUCTION. Visual tracking has long ... neural networks (ConvNet) [9], [10]. Driven by the large- ... and observati

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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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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Nov 8, 2018 - 1. Visualization of 3 tracking results. Green, purple, red box denote tracking .... continuous deep Q-Learning for hyperparameter selection.

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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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.

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port vector machine and its on-line learning version in this section. A. Mean Shift Tracking. Mean shift (MS) tracking was firstly presented in [1]. In. MS tracking, the object is represented by a square region which is cropped and normalized into a