To solve the problem that Circulant Structure of tracking-by-detection with Kernels(CSK) is difficult to adapt to the target scale change,a multi-scale kernel correlation filter classifier was proposed to realize the scale adaptive target tracking.Firstly,the multi-scale image was used to construct the sample set,the multi-scale kernel correlation filtering classifier was trained by the sample set,for target size estimation to achieve the goal of the optimal scale detection,and then the samples collected on...
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