基于Mean Shift的背景梯度修正直方图跟踪算法  

Background Gradient Corrected Histogram Tracking Algorithm Based on Mean Shift

作　　者：喻璐璐 谭逢富 陈修涛 秦来安 侯再红 Lulu Yu;Fengfu Tan;Xiutao Chen;Laian Qin;Zaihong Hou(Key Laboratory of Atmospheric Optics,Anhui Institute of Optical and Fine Machinery,Chinese Academy of Sciences,Hefei,Anhui 230031,China;University of Science and Technology of China,Hefei,Anhui 230026,China)

机构地区：[1]中国科学院安徽光学精密机械研究所大气光学重点实验室,安徽合肥230031 [2]中国科学技术大学,安徽合肥230026

出　　处：《激光与光电子学进展》2020年第22期226-233,共8页Laser & Optoelectronics Progress

基　　金：国家自然科学基金(41405014)。

摘　　要：当图像中的背景发生波动时,修正的背景加权直方图(CBWH)算法在目标跟踪过程中存在波动跟随现象,从而产生波动误差。为了改善背景波动下算法的跟踪效果,减小波动误差,在CBWH算法的基础上提出了一种背景梯度修正直方图(BGCH)算法。利用相邻帧的背景梯度信息对目标模型进行二阶加权修正,提前阻断了CBWH算法的波动跟随过程。实验结果表明,本算法可以减小CBWH算法的波动误差,且对目标形变、模糊的情况,也表现出了更好的鲁棒性。When background fluctuates in the image,the target tracking process will follow the fluctuation of background with corrected background-weighted histogram(CBWH)algorithm,which will cause fluctuation-errors.In order to improve the tracking effect under fluctuant background and reduce the fluctuation-errors,this paper proposes a background gradient corrected histogram(BGCH)algorithm based on CBWH algorithm.It uses the background gradient information of adjacent frames to perform a second-order correction on the target model,and blocks the fluctuation-following process of the CBWH algorithm in advance.Experimental results show that this method significantly reduces the fluctuation-errors of CBWH algorithm,and also shows better robustness under the condition of target deforming and blurring.

关 键 词：图像处理 目标跟踪 背景梯度 背景波动 背景加权直方图 

分 类 号：TN911.73[电子电信—通信与信息系统]