Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Head Detection based on Foreground Pixel Histogram Analysis

전경픽셀 히스토그램 분석 기반의 머리영역 검출 기법

  • 최유주 (서울벤처정보대학원대학교 컴퓨터응용기술학과) ;
  • 손향경 (서울벤처정보대학원대학교 VCAR 연구실) ;
  • 박정민 (한국과학기술연구원 인지로봇연구단) ;
  • 문남미 (호서대학교 벤처전문대학원)
  • Published : 2009.11.30
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Abstract

In this paper, we propose a head detection method based on vertical and horizontal pixel histogram analysis in order to overcome drawbacks of the previous head detection approach using Haar-like feature-based face detection. In the proposed method, we create the vertical and horizontal foreground pixel histogram images from the background subtraction image, which represent the number of foreground pixels in the same vertical or horizontal position. Then we extract feature points of a head region by applying Harris corner detection method to the foreground pixel histogram images and by analyzing corner points. The proposal method shows robust head detection results even in the face image covering forelock by hairs or the back view image in which the previous approaches cannot detect the head regions.

본 논문은 기존의 Haar 유사 특징 기반 얼굴검출 기법의 한계를 보완하는 수평 및 수직방향픽셀 히스토그램 분석 기반의 머리영역 검출 방법을 제안한다. 제안 기법은 배경차감 영상에서 수평과 수직 방향으로 전경 픽셀의 수를 표시하는 픽셀 히스토그램 영상을 생성한 후, 해리스 코너 검출기법을 이용하여 머리 영역을 특징짓는 특징점을 검출한다. 제안한 방법은 기존의 얼굴 특성 기반 검출에 비해 머리를 포함한 몸체의 수직과 수평 픽셀 히스토그램을 이용함으로써 정면 영상뿐만 아니라 측면 및 후면 영상이나 이마가 가려진 입력 영상의 경우에도 머리 영역을 안정적으로 검출하는 결과를 보여주었다.

Keywords

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