• Title/Summary/Keyword: Marker-less Human Motion Capture

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Vision-based Human-Robot Motion Transfer in Tangible Meeting Space (실감만남 공간에서의 비전 센서 기반의 사람-로봇간 운동 정보 전달에 관한 연구)

  • Choi, Yu-Kyung;Ra, Syun-Kwon;Kim, Soo-Whan;Kim, Chang-Hwan;Park, Sung-Kee
    • The Journal of Korea Robotics Society
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    • v.2 no.2
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    • pp.143-151
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    • 2007
  • This paper deals with a tangible interface system that introduces robot as remote avatar. It is focused on a new method which makes a robot imitate human arm motions captured from a remote space. Our method is functionally divided into two parts: capturing human motion and adapting it to robot. In the capturing part, we especially propose a modified potential function of metaballs for the real-time performance and high accuracy. In the adapting part, we suggest a geometric scaling method for solving the structural difference between a human and a robot. With our method, we have implemented a tangible interface and showed its speed and accuracy test.

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Hand motion estimation for interactive image composition (상호작용 영상합성을 위한 손의 움직임 추정)

  • Koo, Ddeo-Ol-Ra;Seo, Yung-Ho;Doo, Kyoung-Soo;Choi, Jong-Soo
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.951-952
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    • 2008
  • This paper proposes a new method for image composition which estimates the rotation angle of human hand and uses the reserved image in real-time camera images. First, we capture a background image and extract a interesting region by background subtraction. Next, we estimate the skin region from the interesting region and calculate the rotation angle of estimated skin region using PCA(Principal Components Analysis). Finally, we composite the reserved image for the calculated rotation angle in camera images. The proposed method can be applied to control the 3D avatar for marker-less augmented reality.

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