计算机工程2012，Vol.38Issue(18)：166-170,5.DOI:10.3969/j.issn.1000-3428.2012.18.045
基于改进混合高斯模型的运动目标检测算法
Moving Object Detection Algorithm Based on Improved Gaussian Mixture Model
摘要
Abstract
Moving objects can be converted into background ones by Gaussian Mixture Model(GMM) when they might be staying still in the scene for an uncertain time. Therefore, a new method based on improved GMM is proposed. To obtain complete objects, a background learning parameter is introduced to update the model according to the detection result in previous frame. Moreover, the information of 8-adjacent connection area is utilized to suppress noises and improve its stability in the complex environment. Several experiments are implemented and the results demonstrate its effectiveness in detecting the moving objects which stay briefly in the complicated condition.关键词
混合高斯模型/运动目标检测/背景模型/噪声抑制/连通区域Key words
Gaussian Mixture Model(GMM)/ moving object detection/ background model/ noise suppression/ connection area分类
信息技术与安全科学引用本文复制引用
孙毅刚,李鸿,张红颖..基于改进混合高斯模型的运动目标检测算法[J].计算机工程,2012,38(18):166-170,5.基金项目
国家自然科学基金委员会与中国民用航空局联合基金资助项目(60979005) （60979005）
中央高校基本科研业务费专项基金资助项目(ZXH2009B004) （ZXH2009B004）
中国民航局科技基金资助项目(MHRD201002) （MHRD201002）
