激光技术Issue(6)：776-779,4.DOI:10.7510/jgjs.issn.1001-3806.2014.06.011
基于改进的混合高斯模型的运动目标检测方法
Moving target detection algorithm based on improved Gaussian mixture model
王东方 1王玉德 1王景武1
作者信息
- 1. 曲阜师范大学物理工程学院，曲阜273165
- 折叠
摘要
Abstract
In order to eliminate the defects of false detection of mixed Gaussian model under sudden illumination , a new algorithm combining Gaussian model with average background method was proposed to count the foreground pixels . Firstly, the background of Gaussian mixture model was initialized by using multi-frame averaging method when building the background model .Secondly , a counter for the number of foreground pixels of every frame was established and the false detection was eliminated based on the counter .Finally, the target was detected by using mathematical morphology and the foreground of the image was gotten .The results show that this improved algorithm not only overcomes the interference of the initial background but also eliminates the false detection when the illumination changes , and improves the detection rate of the moving targets .关键词
图像处理/运动目标检测/混合高斯模型/光照影响Key words
image processing/moving target detection/Gaussian mixture model/illumination effect分类
信息技术与安全科学引用本文复制引用
王东方,王玉德,王景武..基于改进的混合高斯模型的运动目标检测方法[J].激光技术,2014,(6):776-779,4.
