2016
DOI: 10.1016/j.image.2016.09.009
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Visual tracking via adaptive multi-task feature learning with calibration and identification

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Cited by 2 publications
(1 citation statement)
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“…The pixel intensity is robust to particle occlusion but sensitive to the shape deformation of moving target and illumination change. Chen et al [20] proposed a histogram of oriented gradients (HOGs) based sparse learning method for visual tracking. Since HOG is sensitive to occlusion, it may also cause the target drift in long‐term video sequences.…”
Section: Introductionmentioning
confidence: 99%
“…The pixel intensity is robust to particle occlusion but sensitive to the shape deformation of moving target and illumination change. Chen et al [20] proposed a histogram of oriented gradients (HOGs) based sparse learning method for visual tracking. Since HOG is sensitive to occlusion, it may also cause the target drift in long‐term video sequences.…”
Section: Introductionmentioning
confidence: 99%