指挥控制与仿真Issue(1)：84-87,99,5.DOI:10.3969/j.issn.1673-3819.2014.01.019
基于改进的混合高斯模型的背景建模方法
A Background Modeling Method Based on Improved Mixture Gaussian Model
摘要
Abstract
The typical mixture Gaussian model method is computability of high cost and less robust to the conditions of sud-den moving of the motionless objects and the instant illumination changing. To solve this problem, a background modeling method based on improved mixture Gaussian model is presented in this paper. Firstly, to improve the efficiency of modeling, an adaptive selection strategy of the number of Gaussian distributions is proposed. Secondly, through of analyzing the cause why the typical mixture Gaussian model method is less robust to the conditions of sudden moving of the motionless objects and the instant illumination changing, present an adaptive selection strategy of the update rate for different regions to respond to the changing of scene and solve the large areas of false detection problem. Comparing with the typical mixture Gaussian model method on different image sequences containing targets of interest in typical environments. Experimental results demonstrate the effectiveness of the proposed method.关键词
运动目标检测/背景建模/混合高斯模型Key words
moving object detection/background modeling/mixture Gaussian model分类
天文与地球科学引用本文复制引用
栾胜利..基于改进的混合高斯模型的背景建模方法[J].指挥控制与仿真,2014,(1):84-87,99,5.
