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This study presents a robust object tracking method based on occlusion detection via correlation filters. In the proposed method, multi-feature kernelised correlation filter is employed to estimate the preliminary location of the tracked target. To predict target occlusion state, the intrinsic relationship between the most reliable tracked target and its context information is exploited via correlation filters, together with a response stability constraint to make the detection more reliable. Adoi:10.1049/joe.2017.0795 fatcat:uckgllhcanabxgi4clyebjzodu