제어로봇시스템학회논문지 (Journal of Institute of Control, Robotics and Systems)

  • 제11권12호
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  • Pages.1062-1067
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  • 2005
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  • 1976-5622(pISSN)
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  • 2233-4335(eISSN)
제어로봇시스템학회 (Institute of Control, Robotics and Systems)
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유비쿼터스 로봇과 휴먼 인터액션을 위한 제스쳐 추출

Gesture Extraction for Ubiquitous Robot-Human Interaction

  • 김문환 (연세대학교 전기전자공학과) ;
  • 주영훈 (군산대학교 전자정보공학부) ;
  • 박진배 (연세대학교 전기전자공학과)
  • 발행 : 2005.12.01
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초록

This paper discusses a skeleton feature extraction method for ubiquitous robot system. The skeleton features are used to analyze human motion and pose estimation. In different conventional feature extraction environment, the ubiquitous robot system requires more robust feature extraction method because it has internal vibration and low image quality. The new hybrid silhouette extraction method and adaptive skeleton model are proposed to overcome this constrained environment. The skin color is used to extract more sophisticated feature points. Finally, the experimental results show the superiority of the proposed method.

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참고문헌

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피인용 문헌

  1. Intelligent unmanned anti-theft system using network camera vol.8, pp.5, 2010, https://doi.org/10.1007/s12555-010-0505-0