计算机应用与软件Issue(10)：209-212,230,5.DOI:10.3969/j.issn.1000-386x.2015.10.049
改进的混合高斯背景建模算法
IMPROVED GMM BACKGROUND MODELLING ALGORITHM
罗超宇 1李小曼 2韩骏浩 1吴欣平1
作者信息
- 1. 武警工程大学研究生管理大队 陕西 西安 710086
- 2. 武警工程大学信息工程教研室 陕西 西安 710086
- 折叠
摘要
Abstract
Traditional GMMbackground modelling algorithm is poor in real time property and poor in adaptability on sudden environment changes caused by lighting,etc.In view of these problems,this paper proposes an improved algorithm.It restricts the life-time of model by defining the parameter quantitatives of model life-time and the times of continuous matching,and improves the limit on fixed number of Gauss-ian model in traditional algorithm,and increases the background modelling speed.It detects sudden lighting changes by defining mutation fac-tor and the duration of mutation.Simulation experiment demonstrates that the improved algorithm achieves model number’s self-adaptive change,raises the background modelling efficiency.For the false detections caused by poor real-time performance in traditional modelling al-gorithm and by sudden changes in illumination,it can perfectly solve,and presents better robustness.关键词
混合高斯模型/自适应/背景建模/突变检测Key words
Gaussian mixed model (GMM)/Self-adaption/Background modelling/Sudden change detection分类
信息技术与安全科学引用本文复制引用
罗超宇,李小曼,韩骏浩,吴欣平..改进的混合高斯背景建模算法[J].计算机应用与软件,2015,(10):209-212,230,5.
