• DocumentCode
    2915683
  • Title

    Stereo vision based intuitive posture input system using a portable color marked puppet

  • Author

    Park, Jae Byung

  • Author_Institution
    Div. of Electron. & Inf. Eng., Chonbuk Nat. Univ., Jeonju
  • fYear
    2008
  • fDate
    17-20 Dec. 2008
  • Firstpage
    1521
  • Lastpage
    1525
  • Abstract
    This paper suggests a new portable posture input system which consists of a stereo vision system, a color marked puppet, and a laptop computer. Using the puppet, we can intuitively input any posture which we want to represent. The puppet posture is recognized by the stereo vision. First, the color mark of each puppet joint is obtained and segmented. In this case, the normalized color technique is employed for robust color mark extraction. Then, the 3D positions of the segmented color marks are calculated by the epipolar geometry method. Using the obtained 3D positions, all joint angles of the puppet are represented as a quaternion. Therefore, the obtained joint quaternions determine the resultant posture of the human being model. Finally, the experimental results show the effectiveness and feasibility of the suggested posture input system.
  • Keywords
    feature extraction; image colour analysis; image segmentation; motion estimation; stereo image processing; 3D position; color mark extraction; color mark segmentation; epipolar geometry method; intuitive posture input system; joint quaternion; laptop computer; normalized color technique; portable color marked puppet; puppet posture; stereo vision; Computer vision; Geometry; Humans; Magnetic field measurement; Mechanical sensors; Portable computers; Quaternions; Robotics and automation; Robustness; Stereo vision; Color Marked Puppet; Color Stereo Vision; Posture Input;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation, Robotics and Vision, 2008. ICARCV 2008. 10th International Conference on
  • Conference_Location
    Hanoi
  • Print_ISBN
    978-1-4244-2286-9
  • Electronic_ISBN
    978-1-4244-2287-6
  • Type

    conf

  • DOI
    10.1109/ICARCV.2008.4795750
  • Filename
    4795750