计算机应用与软件2012，Vol.29Issue(4)：53-56,4.
利用切比雪夫不等式的背景建模算法
BACKGROUND MODELING ALGORITHM THAT USES CHEBYSHEV INEQUALITY
摘要
Abstract
To solve the background modeling problem in the motion target detection problem, a background modeling method that integrates Chebyshev inequality and kernel density estimation is proposed. First of all, depending on sample mean, sample variance and Chebyshev inequality, the method quickly calculates each pixel' s probability whether it belongs to the foreground or the background, in order to classify it as a foreground point, a background point or a suspicious point. If it is a suspicious point, the kernel density estimation method is used to estimate its probability density whether it belongs to the foreground or the background in order to carry out background/foreground discrimination. Finally, by setting the threshold value the method completes the real-time background modeling. Experimental results prove that Chebyshev inequalities can quickly distinguish foreground or background points that bear significant characteristics, while by using the background updating algorithm it can obtain the ideal background image, reducing background image extraction mistakes, meanwhile remarkably speeding up background modeling.关键词
切比雪夫不等式/可疑点/核密度估计/背景建模Key words
Chebyshev inequality/Suspicious points/Kernel density estimation/Backgroun modeling分类
信息技术与安全科学引用本文复制引用
刘奎,张琨,王翠荣..利用切比雪夫不等式的背景建模算法[J].计算机应用与软件,2012,29(4):53-56,4.基金项目
国家自然科学基金项目(60273078). （60273078）
