Background Subtraction Based on Gaussian Mixture Model

被引：2

作者：

Liu, Defang ^{[1
]}

Deng, Ming ^{[1
]}

Wang, Daimu ^{[1
]}

机构：

[1] Fuyang Normal Coll, Coll Comp & Informat, Fuyang 236037, Anhui, Peoples R China

来源：

MANUFACTURING PROCESS AND EQUIPMENT, PTS 1-4 | 2013年 / 694-697卷

关键词：

gaussian mixture model; background subtraction; video sequences;

D O I：

10.4028/www.scientific.net/AMR.694-697.2021

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

According to the detection of moving objects in video sequences, the paper puts forward background subtraction based on Gauss mixture model. It analyzes the usual pixel-level approach, and to develop an efficient adaptive algorithm using Gaussian mixture probability density. Recursive equations are used to constantly update the parameters and but also to simultaneously select the appropriate number of components for each pixel.

引用

页码：2021 / 2026

页数：6

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