Adaptive Multi-part Target Representation for Tracking

In this paper we propose and evaluate an effective approach based on multiple colour histograms. The target is adaptively divided into non-overlapping regions. The proposed partition does not weaken the robustness of the colour histogram representation; it can be used to any class targets. Experimental results show that the proposed representation improve the tracking accuracy and decrease the number of iterations.