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Occlusion is one of the most challenging problems in visual object tracking. Recently, a lot of discriminative methods have been proposed to deal with this problem. For the discriminative methods, it is difficult to select the representative samples for the target template updating. In general, the holistic bounding boxes that contain tracked resul...

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Figures 1, 3 and Table 1 contain errors. The correct versions are given below.
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... Danelljan et al. [5] exploit the color attributes of the target object and learn an adaptive correlation filter. The literature [21] proposes a patch-based visual tracker that divides the object and the candidate area into several small blocks evenly and uses the average score of the overall small blocks to determine the optimal candidate, which greatly improves under the occlusion circumstances. The literature [22] proposes an online representative sample selection method to construct an effective observation module that can handle occasional large appearance changes or severe occlusion. ...
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... Therefore, to study the effective numerical solution of this kind of integral equation has become a research direction that mathematicians, natural science workers, and engineering technicians strive to open up. In recent years, the numerical solution of Fredholm integral equation has been greatly developed [10][11][12][13][14]. ...
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