计算机技术与发展2017，Vol.27Issue(6)：11-16,6.DOI:10.3969/j.issn.1673-629X.2017.06.003
基于随机游走和混合高斯模型的运动目标检测
Moving Target Detection Based on Random Walk and GaussianMixture Model
摘要
Abstract
Since the conventional Gaussian mixture background modeling algorithm does not consider the correlation between adjacent pixels in the same frame,which cannot accurately capture the contour of moving objects,a foreground target detection method combined with random walk and Gaussian mixture model has been proposed.The background of the video source image has been modeled with the mixed Gauss model firstly,and the initial moving object has been obtained.Then,the number of seed points is determined by analyzing the segmentation result and the processing time of the random walk algorithm.The seed points have been labeled with the initial moving object,and the video source image is segmented by random walk algorithm.The obtained segmentation target and the initial moving object have been computed with logic AND operation.The morphological processing has been carried out to get the final moving target.In order to verify the effectiveness of the proposed algorithm, the four selected sequences of videos have been tested by Matlab.The test results show that the proposed method has solved the edge blurring problem of Gaussian mixture algorithm,and reduced the foreground noise.关键词
混合高斯模型/随机游走/运动目标检测/种子点Key words
mixed Gauss model/random walk/moving target detection/seed points分类
信息技术与安全科学引用本文复制引用
李强,陈光化,余渊..基于随机游走和混合高斯模型的运动目标检测[J].计算机技术与发展,2017,27(6):11-16,6.基金项目
上海市科技成果转化和产业化项目基金(14DZ1100600) （14DZ1100600）
