计算机技术与发展2016，Vol.26Issue(5)：22-26,5.DOI:10.3969/j.issn.1673-629X.2016.05.005
基于纹理特征的混合高斯背景建模算法研究
Research on Gaussian Mixture Background Modeling Algorithm Based on Texture Feature
摘要
Abstract
Moving target detection in the intelligent transportation system is a fundamentaland key issue. Traditional Gaussian mixture model can better detect moving targets,but without considering the local characteristics of pixels,resulting in the error detection rate in-creases of moving target. To solve these problem,on the basis of idea of subspace,an improved Gaussian mixture model algorithm based on local texture features for pixel is put forward. It uses the average,standard deviation,maximum,minimum,and current pixel values a-round pixel 5*5 image block as local texture features,and establishes Gaussian mixture background model for moving object detection. After extensive comparison of experimental results,it shows that the algorithm can more accurately and completely detect moving targets and has good environmental adaptability. When the color of moving target area is similar with corresponding background area,the detec-tion results improved is obvious.关键词
运动目标检测/混合高斯模型/局部纹理特征/背景模型Key words
moving target detection/Gaussian mixture model/local texture feature/background model分类
信息技术与安全科学引用本文复制引用
冯璞,李玉恵,李勃,游旭晨..基于纹理特征的混合高斯背景建模算法研究[J].计算机技术与发展,2016,26(5):22-26,5.基金项目
国家自然科学基金资助项目(61363043) （61363043）
