An Adaptive Update Strategy for KCF

Great advance has been achieved to improve the CF-based trackers, most of them ignore to improve update scheme. The update scheme plays an important role in tracking, which helps the tracker adapt the change of target. This paper presents an adaptive update strategy by introducing the peak to sidelobe ratio (PSR) for kernelized correlation filter (KCF) tracker. It helps the KCF based trackers adapt to appearance changes and achieves excellent tracking performance under complex changes. The extensive evaluations on OTB2015 benchmark show that our tracker significantly enhances the tracking performance.