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  • 标题:Detecting Static Object in a Busy Scene
  • 本地全文:下载
  • 作者:Sarbjeet Kaur ; Navjinder Singh
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2013
  • 卷号:4
  • 期号:1
  • 页码:111-113
  • 语种:English
  • 出版社:Ayushmaan Technologies
  • 摘要:Detecting static objects in scenes containing number of moving objects is the problem in video surveillance. One example is the detection of suspicious packages which is left unattended in an airport terminal or railway station. This paper outlines an approach to automatically detect static objects from a video sequence of a busy scene. Our approach contains two phase: foreground object extraction and object matching. In the fast phase, we find the foreground objects in current video frame using an image of a background as reference. In the object matching phase, we try to match the objects with objects that appear before in previous frames. Matching is done based on three parameters shape and position, intensity and edge. Preliminary experiments show that our system is able to identify static objects in a busy scene in real time.
  • 关键词:Foreground Objects;Objects Matching,Abandoned And Removed Object
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