CAMShift face tracking with adaptive MB-LBP pre-filter

Since the color probability distribution based continuous adaptive mean shift(CAMShift) face tracking algorithm is simple and easy to be implemented,it is widely used in real-time tracking applications.However,because the CAMShift takes skin color histogram as the tracking model,its tracking is easy to fail when the target appears in a skin-color-like background region.For that,a CAMShift face tracking algorithm using adaptive Multi-Block Local Binary Pattern(MB-LBP) pre-filter is proposed in this paper.Firstly,a MB-LBP cascade classifier,which can well detect the basic characteristics of the face,is trained.If the tracking window enters a skin-color like background region,this pre-filter is then adaptively inserted to eliminate the skin-like-color background interferences.Consequently,the robustness of the tracking algorithm is improved.Experimental results have proved the superior tracking ability of the proposed algorithm under skin-color-like background interferences.