Moving objects detection algorithm of improved GMM based on 2-D entropy

被引：0

作者：

Feng, Gang ^{[1
]}

机构：

[1] Huanan Normal Univ, Coll Comp, Guangzhou 510631, Guangdong, Peoples R China

来源：

PROCEEDINGS OF THE 2ND INTERNATIONAL FORUM ON MANAGEMENT, EDUCATION AND INFORMATION TECHNOLOGY APPLICATION (IFMEITA 2017) | 2017年 / 130卷

关键词：

moving object detection; GMM; 2-D entropy; learning rate;

D O I：

暂无

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

Aiming at the background updating slow in Gaussian mixture model in abrupt illumination, 2-D entropy is used to judge the mutation of light, thus changing the learning rate so as to speed up the background modeling. The experimental results show that the method can make the background more accurate in complex scenes, and improve the accuracy of target detection.

引用

页码：411 / 415

页数：5

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