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Hand Tracking based on CamShift using Motion History Image

운동 히스토리 영상을 활용한 CamShift 기반 손 추적 기법

  • 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)
  • 길종인 (강원대학교 컴퓨터정보통신공학과) ;
  • 김미나 (강원대학교 컴퓨터정보통신공학과) ;
  • 황환규 (강원대학교 컴퓨터정보통신공학과) ;
  • 김만배 (강원대학교 컴퓨터정보통신공학과)
  • Received : 2017.01.11
  • Accepted : 2017.03.02
  • Published : 2017.03.30

Abstract

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.

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