• DocumentCode
    632735
  • Title

    Visible-Spectrum Gaze Tracking for Sports

  • Author

    Pires, Bernardo R. ; Myung Hwangbo ; Devyver, Michael ; Kanade, Takeo

  • Author_Institution
    Carnegie Mellon Univ. Pittsburgh, Pittsburgh, PA, USA
  • fYear
    2013
  • fDate
    23-28 June 2013
  • Firstpage
    1005
  • Lastpage
    1010
  • Abstract
    In sports, wearable gaze tracking devices can enrich the viewer experience and be a powerful training tool. Because devices can be used for long periods of time, often outside, it is desirable that they do not use active illumination (infra-red light sources) for safety reasons and to minimize the interference of the sun. Unlike traditional wearable devices, in sports, the gaze tracking method must be robust to (often dramatic) movements of the user in relation to the device (i.e., the common assumption that because the device is wearable, the eye does not move with regards to the camera no longer holds.) This paper extends a visible-spectrum gaze tracker in the literature to handle the requirements of a motor-sports application. Specifically, the method presented removes the assumption (in the original method) that the eye position is fixed, and proposes the use of template matching to allow for changes in the eye location from frame to frame. Experimental results demonstrate that the proposed method can handle severe changes in the eye location and is very fast to compute (up to 60 frames per second in modern hardware.).
  • Keywords
    eye; image matching; interference; iris recognition; object tracking; safety; sport; eye location; interference minimization; motor-sports application; safety reason; template matching; visible-spectrum gaze tracker; visible-spectrum gaze tracking; wearable gaze tracking device; Cameras; Iris; Mathematical model; Robustness; Solid modeling; Three-dimensional displays; Tracking; Gaze Tracking; Iris Detection; Sports; Visible-spectrum;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on
  • Conference_Location
    Portland, OR
  • Type

    conf

  • DOI
    10.1109/CVPRW.2013.146
  • Filename
    6595992