计算机与现代化Issue(1)：65-70,6.DOI:10.3969/j.issn.1006-2475.2017.01.013
基于Mean Shift算法的目标跟踪综述
A Review of Object Tracking Based on Mean Shift Algorithm
摘要
Abstract
The mean shift algorithm and its research progress are introduced,and the video tracking method based on mean shift algorithm has been largely utilized in a wide-range of computer vision investigation and its practical application,especially in video tracking research.More importantly,among those existing object tracking algorithms,the mean shift algorithm could be able to solve numbers of critical problems during object tracking,such as sudden acceleration of the moving object,background interference,mutual occlusions among objects and/or between object and background,shape change of objects and/or background,etc.This paper describes the theory and applications based on improved mean shift algorithm and itself,including the details of those methods and their merits and demerits.关键词
目标跟踪/mean shift/目标遮挡/背景干扰Key words
object tracking/mean shift/object occlusion/background interference分类
信息技术与安全科学引用本文复制引用
李慧霞,李临生,闫庆森,周景文..基于Mean Shift算法的目标跟踪综述[J].计算机与现代化,2017,(1):65-70,6.基金项目
太原科技大学研究生科技创新项目(20151006) （20151006）
