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In order to handle the difficulties of complex tracking conditions in real tracking problems, this paper proposed a novel Adaboost based tracking algorithm. In the proposed method, visual tracking is resolved as a two-class classification problem between fore-ground (the target) and its background. And the classification is resolved by designing an adaptive classifier. In detail, an on-line updated Adaboost classifier is designed to overcome the limitation of single classifier in trackingdoi:10.24507/icicelb.08.03.609 fatcat:plr2bbrsfzehjnjpzpor5t676q