摘要
介绍了一种简单、快速的实时交通图像序列中多目标的跟踪算法,在使用自适应背景差分法分割出运动目标候选区域的基础上,通过形态学操作和降低分辨率的方法,得到连通的目标区域,再使用轨迹关联法实现对多目标的跟踪.实验结果表明该算法较好地解决了跟踪的连续性、实时性、精确度的矛盾,同时满足智能交通监控系统的要求.
A simplified and fast algorithm for tracking multiple targets in real-time traffic image sequences is presented. This algorithm firstly uses morphological operation and resolution reduction to get the connected regions of moving objects which are segmented out by adaptive background subtraction algorithm, and then the track-association algorithm is applied to track targets. The experimental results demonstrate that the proposed method has effectively solved the contradictions between continuity, real time and precision in tracking, Simultaneously it can satisfy the needs of the intelligent traffic supervisory system.
出处
《常熟理工学院学报》
2009年第4期82-86,共5页
Journal of Changshu Institute of Technology
关键词
背景差分
轨迹关联
多目标跟踪
智能交通监控系统
background subtraction
track-association
multiple targets tracking
intelligent traffic supervisory systern
