发明申请
US20050196044A1 Method of extracting candidate human region within image, system for extracting candidate human region, program for extracting candidate human region, method of discerning top and bottom of human image, system for discerning top and bottom, and program for discerning top and bottom 审中-公开
提取图像中候选人区域的方法,提取候选人类区域的系统,提取候选人类区域的程序,识别人物图像的顶层和底部的方法,识别顶层和底部的系统,以及识别顶层和底层的程序

  • 专利标题: Method of extracting candidate human region within image, system for extracting candidate human region, program for extracting candidate human region, method of discerning top and bottom of human image, system for discerning top and bottom, and program for discerning top and bottom
  • 专利标题(中): 提取图像中候选人区域的方法,提取候选人类区域的系统,提取候选人类区域的程序,识别人物图像的顶层和底部的方法,识别顶层和底部的系统,以及识别顶层和底层的程序
  • 申请号: US11043908
    申请日: 2005-01-26
  • 公开(公告)号: US20050196044A1
    公开(公告)日: 2005-09-08
  • 发明人: Toshinori NagahashiTakashi Hyuga
  • 申请人: Toshinori NagahashiTakashi Hyuga
  • 优先权: JP2004-018376 20040127
  • 主分类号: G06T1/00
  • IPC分类号: G06T1/00 G06K9/34 G06K9/46 G06T5/00 G06T7/00 G06T11/00 G06T11/60
Method of extracting candidate human region within image, system for extracting candidate human region, program for extracting candidate human region, method of discerning top and bottom of human image, system for discerning top and bottom, and program for discerning top and bottom
摘要:
A method is provided for extracting a candidate human image region from within a picture image. The top-bottom direction of a picture image containing a human image is discerned. Based on the result of the discernment, the human image is modified to the actual top-bottom direction. Then, the variance values of image features are found about vertical and horizontal lines comprising vertical and horizontal rows of pixels constituting the picture image. Regions having variance values of image features in excess of their threshold values are selected about the vertical and horizontal line directions. An area within the picture image in which the selected regions in the line directions overlap with each other is extracted. Thus, an area within the picture image in which the human image exists can be robustly and quickly extracted.
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