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基于混合模型的运动目标检测算法
引用本文:赵陈,刘鹏飞,闫亮. 基于混合模型的运动目标检测算法[J]. 电子测试, 2011, 0(1): 27-30,77
作者姓名:赵陈  刘鹏飞  闫亮
作者单位:兰州交通大学电子与信息工程学院;
摘    要:自然界中复杂的环境对视频临控系统有一定的下扰,对运动物体的检测也将产生显著的影响,通过分析光照变化、背景干扰等现象对运动目标的检测的影响,本文提出了一种能适应环境变化的混合模型运动目标检测算法,该算法结合帧间差分法和混合高斯模型算法的优点,将帧差法作为进行高斯背景减法的指导,既能得到较高的灵敏度又能进一步提高检测效果,...

关 键 词:运动目标检测  光照变化  背景影响  帧间差分  混合高斯模型

Hybrid model based on the target motion detection algorithm
Zhao Chen,Liu Pengfei,Yan Liang. Hybrid model based on the target motion detection algorithm[J]. Electronic Test, 2011, 0(1): 27-30,77
Authors:Zhao Chen  Liu Pengfei  Yan Liang
Affiliation:Zhao Chen,Liu Pengfei,Yan Liang (School of Electronic & Information Engineering,Lanzhou Jiaotong University,Lanzhou,730070)
Abstract:In the nature of the complex environment has certain interference to video monitoring system, The detection of moving objects which will significantly impact. Through the analysis of illumination change, background interference phenomenon of moving targets detectio, This paper puts forward a kind of adaptive hybrid model target motion detection algorithm. The algorithm combines frame difference method and the advantages of gaussian mixture model algorithm, The frame difference method as the Gaussian backgro...
Keywords:motion detection. Illumination change  Background  Frame difference  The gaussian mixture model  
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