计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (34): 152-154.DOI: 10.3778/j.issn.1002-8331.2009.34.046

• 图形、图像、模式识别 • 上一篇    下一篇

一种快速的运动目标检测算法

王玉锐,陈 辉,唐丽焕,吕小倩   

  1. 山东大学 信息科学与工程学院,济南 250100
  • 收稿日期:2008-12-10 修回日期:2009-02-20 出版日期:2009-12-01 发布日期:2009-12-01
  • 通讯作者: 王玉锐

Fast algorithm of moving object detection

WANG Yu-rui,CHEN Hui,TANG Li-huan,LV Xiao-qian   

  1. School of Information Science and Engineering,Shandong University,Jinan 250100,China
  • Received:2008-12-10 Revised:2009-02-20 Online:2009-12-01 Published:2009-12-01
  • Contact: WANG Yu-rui

摘要: 将运动目标检测的改进方式分为三类。针对固定摄像机的视觉监控系统,提出了一种改进的高斯混合模型算法。通过对方差在高斯混合模型中的作用进行分析,省略方差更新,将方差设为固定值,均值学习率采用固定值。实验结果表明,同传统检测方法相比,改进的算法具有更好的实时性与可靠性。

关键词: 智能视觉监控系统, 运动目标检测, 高斯混合模型, 方差

Abstract: Improved methods of moving object detection are classified into three categories,and an improved algorithm of Gaussian mixture model is presented for the application on a video monitoring system with a static camera.By analyzing the Gaussian variance function,this paper makes the variance a constant value instead of updating it.At the same time,the learning rate of mean value is fixed.Experiments show that the improved algorithm outperforms the other traditional methods in realtime performance and stability.

Key words: intelligent video monitoring system, moving object detection, Gaussian mixture model, variance

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