首页    期刊浏览 2024年12月02日 星期一
登录注册

文章基本信息

  • 标题:An Efficient Foreground Detection Algorithm for Visual Surveillance System
  • 作者:Sivabalakrishnan.M ; D.Manjula
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2009
  • 卷号:9
  • 期号:5
  • 页码:221-227
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:In this paper we propose an efficient foreground detection algorithm based on a new color space model and morphological filtering. This model uses each pixel��s color distortion and brightness distortion to detect the candidate foreground pixels. The color distortion considers the vector��s position in color space so that it can assemble the color features effectively. Also shadow elimination process removes the moving shadow. By applying it to background subtraction, we get a comparative complete foreground object. For complex background, the post-processing and the filtering stage helps achieve better results. We have tested the presented algorithm with a variety of videos with various background and results clearly show the efficiency of the algorithm proposed.
  • 关键词:Forground detection;morphological filtering;shadow elimination;post prcessing
Loading...
联系我们|关于我们|网站声明
国家哲学社会科学文献中心版权所有