液晶与显示2012，Vol.27Issue(3)：396-400,5.DOI:10.3788/YJYXS20122703.0396
基于改进MeanShift的目标跟踪算法
Target Tracking Algorithm Based on Improved Meanshift
摘要
Abstract
Aiming at the problem that traditional Meanshift algorithm can not guarantee tracking accuracy in certain interference or occlusion case and background pixel in object model will induce localization error,a improved targets tracking algorithm based on Mean-shift algorithm was proposed. Firstly,the object model is improved by introducing weights which is decided by divisional degree between object and background, and then the weight was used in object model to reduce the localization error of object tracking. Secondly, the target in the tracking window is divided into a number of fragments, the improved Mean Shift algorithm is used in every fragments separately. Finally, the match degree of each fragment is computed and the fragment with the highest match degree is involved to achieve the whole target's coordinates and to avoid the influence of occluded fragments on the object location. Experimental results show that the new method can effectively and accurately track moving target in the cluttering background.关键词
Meanshift/目标跟踪/分块/抗遮挡Key words
Meanshift/ target tracking/ fragments/ anti-occlusion分类
信息技术与安全科学引用本文复制引用
王田,刘伟宁,韩广良,杜超,刘恋..基于改进MeanShift的目标跟踪算法[J].液晶与显示,2012,27(3):396-400,5.基金项目
国家自然科学基金(No.61172111) （No.61172111）
