Head Detection based on Foreground Pixel Histogram Analysis (전경픽셀 히스토그램 분석 기반의 머리영역 검출 기법)

Choi Yoo Joo (최유주); 손향경; 박정민; 문남미

Head Detection based on Foreground Pixel Histogram Analysis

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2009, 14(11), pp.179-186
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

Choi Yoo Joo ¹, 손향경 ², 박정민 ³, 문남미 ⁴

¹한독미디어대학원대학교
²서울벤처정보대학원
³한국과학기술연구원
⁴호서대학교

Accredited

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.

KEYWORDS

얼굴감지(face detection), 머리감지(head detection), 인체영역 추적(body tracking), 인간과 컴퓨터 상호작용(human-computer interaction)

Citation status

* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65