Robust Tracking of Objects in Image Sequences Using Multiple Degrees of Freedom Mean Shift Algorithm
一种健壮的目标多自由度Mean Shift序列图像跟踪算法

Current Mean Shift tracking algorithm uses a single radius parameter to describe the scale of the target,and Each target has the position and size freeness only,which is not suitable for complex movements of the objects.In this paper we provide a new algorithm in which a bandwidth matrix is employed to describe the objects with two directions determined independently.Target-angle is also introduced to accommodate the rotation of objects.Furthermore we bring forward an efficient search strategy to cope with a temporal occlusion of the objects.Experimental results show that the new algorithm is able to adapt to any kind of object's movements and therefore has better tracking precision.