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基于高斯混合模型和canny算法的运动目标检测
引用本文:陈世文,蔡念,肖明明.基于高斯混合模型和canny算法的运动目标检测[J].广东工业大学学报,2011(3):87-90.
作者姓名:陈世文  蔡念  肖明明
作者单位:嘉应学院计算机学院;广东工业大学信息工程学院;仲恺农业工程学院信息学院;
基金项目:国家自然科学基金资助项目(61001179); 广东省自然科学基金资助项目(07301038,9451009001002667)
摘    要:提出一种基于高斯混合模型和canny算法的运动目标检测算法.利用高斯混合模型计算像素之间的颜色信息,同时利用高斯混合模型更新背景信息;用canny算子提取图像的边缘信息;将颜色信息和区域结构信息线性融合起来,较好地解决了边缘信息明显的运动目标检测.实验中采用改进的加权高斯模型及传统的canny算法相结合.结果表明,本文...

关 键 词:高斯混合模型  目标检测  canny算子

Detection of Moving Objects Based on the Gaussian Mixture Model and the Canny Operator
Chen Shi-wen,Cai Nian,Xiao Ming-ming.Detection of Moving Objects Based on the Gaussian Mixture Model and the Canny Operator[J].Journal of Guangdong University of Technology,2011(3):87-90.
Authors:Chen Shi-wen  Cai Nian  Xiao Ming-ming
Affiliation:Chen Shi-wen1,Cai Nian2,Xiao Ming-ming3(1.Department of Computer Science,Jiaying University,Meizhou 514000,China,2.Faculty of Information Engineering,Guangdong University of Technology,Guangzhou 510006,3.Faculty of Information,Zhongkai University of Agriculture and Engineering,Guangzhou 510225,China)
Abstract:A method of detecting moving objects is proposed by combining the Gaussian mixture model with the canny operator.First,the Gaussian mixture model was employed to extract color information and to update the background information.Second,the canny operator was employed to extract edge information.Last,color information and part of area information were integrated for segmentation,which improved the ability to detect moving objects where edge information was distinct.An improved Gaussian mixture model and a tr...
Keywords:Gaussian mixture model  object detection  canny operator  
本文献已被 CNKI 等数据库收录!
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