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Online training framework based on discriminative correlation filters for visual tracking has recently shown significant improvement in both accuracy and speed. However, correlation filter-base discriminative approaches have a common problem of tracking performance degradation when the local structure of a target is distorted by the boundary effect problem. The shape distortion of the target is mainly caused by the circulant structure in the Fourier domain processing, and it makes thedoi:10.3390/s19224904 pmid:31717609 pmcid:PMC6891527 fatcat:hin7n2tajrbt7knst4uklduleq