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改进的背景差值法目标检测算法
引用本文:米娟芳,冀小平.改进的背景差值法目标检测算法[J].数字社区&智能家居,2011(7).
作者姓名:米娟芳  冀小平
作者单位:太原理工大学信息工程学院;
摘    要:目标检测和追踪是计算机视频领域的重要研究对象之一,尤其是在实时监控和侦察上有广泛的应用前景。背景差分法是三种传统运动对象检测方法中最常用、最直接、最简单的一种方法。该文在传统背景差值法的基础上对该方法进行了一些改进,在算法上采用当前帧与背景图像相异或的方法提取运动目标,使得到的目标更接近实际目标轮廓。

关 键 词:运动目标  滤波  背景差值法  形态学  开启算法  

Improved Algorithm of Background Subtraction Target Detection
MI Juan-fang,JI Xiao-ping.Improved Algorithm of Background Subtraction Target Detection[J].Digital Community & Smart Home,2011(7).
Authors:MI Juan-fang  JI Xiao-ping
Affiliation:MI Juan-fang,JI Xiao-ping(School of Information Engineering,Taiyuan University of Technology,Taiyuan 030024,China)
Abstract:Target detection and tracking is an important research field of computer video,especially in real-time monitoring and surveillance having a wide range of applications.Background difference method is one of the three traditional motion object detection methods,the most commonly used,the most direct,and simplest.Based on the traditional background difference value method,this paper makes some improvements.By using XOR algorithm beteen the current frame and the background image on moving object to acquired mor...
Keywords:moving objects  filtering  background difference value method  morphology  open algorithm  
本文献已被 CNKI 等数据库收录!
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