一种健壮的目标多自由度Mean Shift序列图像跟踪算法

鉴于现有的Mean Shift跟踪方法都是使用单一半径参数来描述目标大小变化,且每个目标仅有位置和尺寸两个自由度,因而不能适应复杂的目标运动情况.针对该问题,首先提出了一种新的Mean Shift跟踪方法,由于该方法是通过引入带宽矩阵来描述目标尺寸,因此能够在水平和垂直两个方向上独立描述目标的大小变化,并通过加入目标倾角,使得目标旋转运动得以很好描述;然后借鉴了三步搜索的思想,提出了一种快速搜索策略,以解决目标遮挡问题.实验表明,该算法能够准确跟踪序列图像中的任意复杂运动,尤其对目标的缩放、旋转运动以及遮挡有良好的适应性.

Robust Tracking of Objects in Image Sequences Using Multiple Degrees of Freedom Mean Shift Algorithm

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.