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文章基本信息

  • 标题:Real Time Human Detection from Video Surveillance
  • 本地全文:下载
  • 作者:Laxmi Tyapi ; Sowmya K S
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:5
  • DOI:10.15680/ijircce.2015.0305059
  • 出版社:S&S Publications
  • 摘要:Video surveillance is the most effective means of ensuring safety. It enables a security to monitor widerange areas. In general, surveillance is to make a unit of three different phases i.e., Object segmentation, Objectclassification and Object tracking. Object segmentation is a method of partitioning a image into something which iseasier to analyse and more meaningful. Object tracking deals with the estimation of the trajectory of the moving object.This paper mainly deals with the object classification. Object classification is mainly used to classify human and nonhumanparts. This paper implements real time detection of human. It is implemented using Intel Atom Processor usingOpenCV.
  • 关键词:Video surveillance; object segmentation; object classification; object tracking; contour formation;background subtraction
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