• DocumentCode
    2295451
  • Title

    Tracking of Fingertips and Centers of Palm Using KINECT

  • Author

    Raheja, Jagdish L. ; Chaudhary, Ankit ; Singal, Kunal

  • Author_Institution
    Digital Syst. Group, Machine Vision Lab., Pilani, India
  • fYear
    2011
  • fDate
    20-22 Sept. 2011
  • Firstpage
    248
  • Lastpage
    252
  • Abstract
    Hand Gesture is a popular way to interact or control machines and it has been implemented in many applications. The geometry of hand is such that it is hard to construct in virtual environment and control the joints but the functionality and DOF encourage researchers to make a hand like instrument. This paper presents a novel method for fingertips detection and centres of palms detection distinctly for both hands using MS KINECT in 3D from the input image. KINECT facilitates us by providing the depth information of foreground objects. The hands were segmented using the depth vector and centres of palms were detected using distance transformation on inverse image. This result would be used to feed the inputs to the robotic hands to emulate human hands operation.
  • Keywords
    gesture recognition; image segmentation; object detection; object tracking; Microsoft KINECT; fingertip tracking; hand geometry; hand gesture; hand segmentation; palm center tracking; robotic hand; Cameras; Gesture recognition; Image segmentation; Real time systems; Three dimensional displays; Thumb; 3D Segmentation; Depth Vector; Human Computer Interface; Image Processing; Image Segmentation; KINECT; Natural Computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Modelling and Simulation (CIMSiM), 2011 Third International Conference on
  • Conference_Location
    Langkawi
  • Print_ISBN
    978-1-4577-1797-0
  • Type

    conf

  • DOI
    10.1109/CIMSim.2011.51
  • Filename
    6076365