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Discriminative correlation filter (DCF) based tracking algorithms have obtained prominent speed and accuracy strengths, which have attracted extensive attention and research. However, some unavoidable deficiencies still exist. For example, the circulant shifted sampling process is likely to cause repeated periodic assumptions and cause boundary effects, which degrades the tracker's discriminative performance, and the target is not easy to locate in complex appearance changes. In this paper, adoi:10.3390/app11188427 fatcat:ecwy6lflg5bkppm2byyanuoquy