• Title/Summary/Keyword: 피부색 배경 제거

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Robust Hand-Region Detecting Based On The Structure (환경 변화에 강인한 구조 기반 손 영역 탐지)

  • Lim, Kyoung-Jin;Jeon, Mi-Yeon;Hong, Rok-Ki;Seo, Seong-Won;Shin, Mi-Hae;Kim, Eui-Jeong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.05a
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    • pp.389-392
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    • 2010
  • In this paper, it presents to detect location using structural information of hand from the input color images on Webcam and to recognize hand gestures. In this system, based on the skin color, the image changes a binary number and labels. Within each labeled area, we can find the Maximum Inscribed Circle using Voronoi Diagram. This circle can find the center of hand. And the circle extracts hand region from analyzing the ellipse elements to relate Maximum Inscribed Circle. We use the Maximum Inscribed Circle and the ellipse elements as characteristic of hand gesture recognition. In various environments, we cannot recognize the object that have similar colors like the background colors. But the proposed algorithm has the advantage that can be effectively eliminated about it.

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