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模板匹配方法在高速目标跟踪中的应用
引用本文:张彦梅,宋扬.模板匹配方法在高速目标跟踪中的应用[J].北京理工大学学报,2006,26(11):1026-1029.
作者姓名:张彦梅  宋扬
作者单位:北京理工大学,信息科学技术学院电子工程系,北京,100081
摘    要:提出了一种用于高速目标跟踪的快速识别算法.根据图像目标与背景的特点,摒弃传统的逐点扫描方法,设计了一种"十字"匹配模板,根据待识别区域与"十字"模板的灰度差进行目标识别;为了提高识别速度,对目标图像进行二值化处理,采用逻辑运算获得模板与目标的相似性测度,通过相似性测度与阈值的比较,进行遍历点的跳跃.仿真结果表明,该算法大大提高了识别速度,实现了对高速摄像机拍摄角度的控制,进而对目标进行实时跟踪.

关 键 词:模板匹配  最大相似性  目标识别  目标跟踪  匹配模板  匹配方法  目标跟踪  应用  Target  Tracking  High  Speed  Method  Template  Matching  实时跟踪  控制  拍摄角度  高速摄像机  算法  仿真结果  遍历  比较  阈值  相似性测度  逻辑运算  二值化处理
文章编号:1001-0645(2006)11-1026-04
收稿时间:2006/7/12 0:00:00
修稿时间:2006年7月12日

Application of the Template Matching Method in High Speed Target Tracking
ZHANG Yan-mei and SONG Yang.Application of the Template Matching Method in High Speed Target Tracking[J].Journal of Beijing Institute of Technology(Natural Science Edition),2006,26(11):1026-1029.
Authors:ZHANG Yan-mei and SONG Yang
Institution:Department of Electronic Engineering,School of Information Science and Technology,Beijing Institute of Technology,Beijing 100081,China;Department of Electronic Engineering,School of Information Science and Technology,Beijing Institute of Technology,Beijing 100081,China
Abstract:A fast identification algorithm for high speed target is presented.According to the characteristics of image target and background,a cross matching template is designed which distinguishes the target by the difference of grayness between the area to be identified and the cross matching template.Thus the traditional point by point scanning method is abandoned.In order to improve the speed of identification,target images are binary processed.Logic calculation is adopted to obtain the comparability estimate between the matching template and target.By comparing the comparability estimate and its threshold,the scanning points skip.The simulation results showed that this algorithm improves the identification speed greatly and realizes the control of shooting angle for the high speed vidicon,so as to track the target real time.
Keywords:template matching  maximum comparability  target identification  target tracking
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