尺度自适应的HLBP纹理特征目标跟踪算法

Scale adaptive tracking algorithm of HLBP texture feature

为解决传统均值漂移跟踪算法难以适应目标的快速性以及尺度变化的问题,提出一种尺度自适应的目标跟踪算法,以HLBP纹理特征(Haar型特性局部二元模式)均值漂移跟踪算法为基础,结合帧差法、最大类间方差法以及形态学处理得到的二值图进行区域生长,确定目标真实大小,更新跟踪框,对搜索结果进行修正。实验结果表明,该算法可以跟踪快速移动的目标,实现尺度自适应,算法复杂度低,有着良好的跟踪性能。

Traditional Meanshift algorithm has problems in tracking fast moving and scale changing targets,a scale adaptive target tracking algorithm was proposed for these problems.HLBP texture feature Meanshift tracking algorithm was the foundation,frame difference,OTSU method and morphological processing were used to get the binary image,the region growing was applied in the binary image to get the scale of the target to update the tracking box,and search result was adjusted.Experimental results show that,the proposed algorithm can track fast moving objects steadily,and the scale of the tracking box can change along with the scale of the target,the proposed algorithm also has low algorithm complexity and good tracking performance.