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基于OpenCV与混合高斯建模的运动目标检测
引用本文:王丽娟.基于OpenCV与混合高斯建模的运动目标检测[J].电子测试,2009(9):86-90.
作者姓名:王丽娟
作者单位:中北大学信息与通信工程学院,山西,030051
摘    要:针对静态背景下的视频运动序列,在研究现有的检测算法——帧间差分法与背景差分法的基础上,进一步研究了运动目标检测中背景动态建模的方法——混合高斯建模法,在此基础上提出了基于混合高斯模型与三帧差分的运动目标检测改进算法。由于使用背景差分法检测运动目标时,运动物体和阴影都将被看作运动的目标,于是研究了基于归一化RGB色彩模型的阴影处理方法,对阴影区域进行检测与去除。然后使用计算机视觉类库OpenCV结合Visual C++6.0对上述算法进行实现,取得了很好的检测效果。

关 键 词:运动目标检测  混合高斯模型  背景建模  OpenCV  阴影去除

Moving objects detection based on OpenCV and Gaussian mixture model
Wang Lijuan.Moving objects detection based on OpenCV and Gaussian mixture model[J].Electronic Test,2009(9):86-90.
Authors:Wang Lijuan
Affiliation:Wang Lijuan (College of Information and Communications Engineering, The North University of China Shangxi 030051 )
Abstract:Against the static background of the video movement sequence, based on studying of existing detection algorithm Inter-frame difference method and Background difference method, and further study of the moving target detection in the context of dynamic modeling approach- Gaussian Mixture Model, proposed an improved model based on Gaussian mixture with three differential detection algorithm of moving target. Then used OpenCV and VC6.0 to realized the algorithm and the detected result is very good.
Keywords:OpenCV
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