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Object tracking has been studied for decades, but most of the existing worksare focused on the short-term tracking. For a long sequence, the object isoften fully occluded or out of view for a long time, and existing short-termobject tracking algorithms often lose the target, and it is difficult tore-catch the target even if it reappears again. In this paper a novel long-termobject tracking algorithm flow_MDNet_RPN is proposed, in which a trackingresult judgement module and a detection module are added to the short-termobject tracking algorithm. Experiments show that the proposed long-termtracking algorithm is effective to the problem of target disappearance.

Flow Guided Short-term Trackers with Cascade Detection for Long-term Tracking