计算机与数字工程2018，Vol.46Issue(2)：284-288,5.DOI:10.3969/j.issn.1672-9722.2018.02.016
基于混合高斯模型与五帧差分的运动目标检测算法
Moving Object Detection Algorithm Based on Mixed Gaussian Model and Five-frame Difference
李战明 1谭向阳1
作者信息
- 1. 兰州理工大学电气工程与信息工程学院 兰州730050
- 折叠
摘要
Abstract
The moving target according to the traditional Gaussian mixture model to extract contains lots of holes,uncovered background area easily detected as foreground and Susceptible to light mutation,a improved algorithm combination of the five-frame difference moving target detection method and Gaussian mixture model algorithm is proposed. Compared to the traditional three frames difference algorithm,the improved five frame difference algorithm can extract the foreground region with fewer holes and the image is divided into background region,uncovered region and moving target region through the Gaussian mixture model.Given the large update rate to the background to solve the problem that the uncovered area be detected as moving target area.In the foreground target segmentation stage,only the distribution whose weight is greater than the average weight is used to distinguish the foreground segmentation in order to further reduce the internal cavity.The experimental results show that it is able to extract the complete mov-ing target and the background region contains less noise.关键词
混合高斯模型/运动目标检测/五帧差分法/背景显露区/前景分割Key words
Gaussian mixture model/moving object detection/five-frame difference method/uncovered background region/foreground segmentation分类
信息技术与安全科学引用本文复制引用
李战明,谭向阳..基于混合高斯模型与五帧差分的运动目标检测算法[J].计算机与数字工程,2018,46(2):284-288,5.
