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文章基本信息

  • 标题:A New Method for Trip-line Detection in Surveillance Video
  • 本地全文:下载
  • 作者:ZuKuan WEI ; NaChen ; YoungHwan OH
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2014
  • 卷号:7
  • 期号:2
  • 页码:223-236
  • DOI:10.14257/ijsip.2014.7.2.21
  • 出版社:SERSC
  • 摘要:Trip-line detection is one of the very important research topics of intelligent monitoring category. This paper will present a trip-line detection system. In our trip line detection algorithm, Gauss model is used to model background, background differencing is used to detect object. Scanning the set of points on the line, if object is cross the line, for double- direction trip-line detection system directly alerts, but for single-direction trip-line detection, the moving direction of the object must be analyzed first. If the moving direction of the object violate passing rule, system directly alerts.
  • 关键词:Trip-line detection; Gaussian Mixture Models; Background differencing; ; Target matching
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