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文章基本信息

  • 标题:Human Eye Tracking Using Particle Filters
  • 本地全文:下载
  • 作者:Elham Ghasemi-Dehkordi ; Mahmoud Mahlouji ; Hossein Ebrahimpour- Komleh
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2013
  • 卷号:10
  • 期号:5
  • 出版社:IJCSI Press
  • 摘要:In this paper, an effective method for human eye tracking and also decreasing the current challenges and problems in its algorithms has been proposed. In this method, firstly face has been detected and segmented from the remaining parts to make the searching area, in tracking stage, narrower and processing speed higher. Then eye area is determined and eye pupils are detected in the specified area. In the proposed method, to support tracking in eyes closure state, corner detection has been additionally used. Experimental results were considered on a variety of images with existence head and face rotation, make up and eyes closure show the ability of this method in human eye tracking.
  • 关键词:Eye Detection; Face Detection; Eye Tracking; Particle Filter; Corner Detection; Harris Algorithm
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