방송공학회논문지 (Journal of Broadcast Engineering)

  • 제22권2호
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  • Pages.182-192
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  • 2017
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  • 1226-7953(pISSN)
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  • 2287-9137(eISSN)
한국방송∙미디어공학회 (The Korean Institute of Broadcast and Media Engineers)
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운동 히스토리 영상을 활용한 CamShift 기반 손 추적 기법

Hand Tracking based on CamShift using Motion History Image

  • 길종인 (강원대학교 컴퓨터정보통신공학과) ;
  • 김미나 (강원대학교 컴퓨터정보통신공학과) ;
  • 황환규 (강원대학교 컴퓨터정보통신공학과) ;
  • 김만배 (강원대학교 컴퓨터정보통신공학과)
  • Gil, Jong In (Dept. of Computer & Communications Engineering Kangwon University) ;
  • Kim, Mina (Dept. of Computer & Communications Engineering Kangwon University) ;
  • Whang, Whankyu (Dept. of Computer & Communications Engineering Kangwon University) ;
  • Kim, Manbae (Dept. of Computer & Communications Engineering Kangwon University)
  • 투고 : 2017.01.11
  • 심사 : 2017.03.02
  • 발행 : 2017.03.30
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초록

본 논문에서는 컬러와 운동 정보를 혼합한 손 추적 시스템을 제안하고자 한다. 손의 검출 및 추적은 많은 경우 피부색을 모델링하여 검출을 하는 방식을 사용한다. 하지만 이와 같은 방법으로는 빛이나 주변 사물에 의해 영향을 많이 받기 때문에 정확한 값을 일정하게 도출해 낼 수 없었다. 또한, 피부색에 의존하므로, 손뿐만 아니라 얼굴 및 비부 색과 비슷한 색을 갖는 배경 등에 의해 추적이 방해받을 수 있다. 이에 본 논문은 운동 히스토리 기법(MHI)을 이용하여 움직임을 파악한 후 이를 CamShift와 결합함으로서, 효과적으로 추적할 수 있도록 설계하였다. 제안된 시스템은 C/C++을 기반으로 구현하였으며, 실험에서 제안 방법이 안정적이고 우수한 성능을 보여줌을 증명하였다.

In this paper, we propose hand tracking system combined with color and motion information. Most of hand detection and tracking systems are performed by modeling skin color. However, in this approach, since it is highly influenced by light or surrounding objects, accurate values cannot be derived constantly. Also, depending on the skin color, hand tracking may be interrupted by not only the hand but also the background with a color similar to that of the face and skin. Therefore, we design the hand tracking that can effectively track a hand by using motion history image(MHI) and combining it with CamShift. The proposed system is implemented based on C/C++, and the experiments proved that the proposed method shows stable and excellent performance.

키워드

참고문헌

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