摘要
介绍Mean Shift算法及其研究进展,在众多计算机视觉研究和实际应用,尤其是视频跟踪研究中,基于Mean Shift算法的视频跟踪被大量应用。就目前所应用的跟踪算法,Mean Shift算法使跟踪中存在的很多问题得到了解决,例如运动目标的突然加速,背景的干扰,目标和目标以及目标和背景之间的遮挡,背景或者目标外部的变化等。对目前基于Mean Shift算法本身及其改进方法的理论和应用进行分类和比较,详述其各自方法内容和优缺点。
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.
出处
《计算机与现代化》
2017年第1期65-70,共6页
Computer and Modernization
基金
太原科技大学研究生科技创新项目(20151006)
