摘要
在Mean-shift算法中,对跟踪状态的误判会引起错误的模板调整策略,造成目标丢失。提出了一种新的跟踪状态分析方法,该算法首先通过分析目标特征与背景特征的相对关系,引入特征增强函数,并在此基础上构造了新的背景模板。然后通过对跟踪中各模板相似系数动态变化过程的综合分析,准确判定目标所处跟踪状态,以采取相应的模板调整策略。实验表明,该算法可以有效增强Mean-shift算法在复杂条件下的跟踪效果,具有较好的稳健性。
Misjudgment on tracking status will result in the wrong template update strategy in mean-shift and loss the object. This article presents a novel tracking status analysis method.Firstly,through the comparison of features in target and background,a feature-enhancement function is introduced and a new background template is constructed based on it.Then,after comprehensive analysis of the dynamic changing process of each similarity coefficient during tracking,the proposed algorithm can accurately determines the tracking status and takes corresponding template update strategy.Experimental results show that the proposed algorithm can effectively enhance the tracking effect under complex condition and is more robust.
出处
《计算机工程与应用》
CSCD
北大核心
2009年第2期24-27,共4页
Computer Engineering and Applications
基金
国家自然科学基金No.30570473
重庆市信息产业发展基金No.20051022~~
关键词
目标跟踪
均值漂移
跟踪状态分析
object tracking
mean-shift
tracking status analysis
