• DocumentCode
    3562365
  • Title

    Pupil tracking using active contour model for videonystagmography applications

  • Author

    Ben Slama, Amine ; Machraoui, Ahmed Nejmedine ; Sayadi, Mounir

  • Author_Institution
    Lab. of Signal Image & Energy Mastery (SIME), Univ. of Tunis, Tunis, Tunisia
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper present a new method to resolve the problem of the estimation of eye position in the analysis of videonystagmography(VNG) sequences, that studies eye vibration using active contour model. An algorithm for horizontal and vertical nystagmus tracking based on some parameters such as position, amplitude and duration, is presented. Indeed, the algorithm uses active contour method to segment the pupil. Thus, segmentation is obtained from Otsu´s thresholding, to detect an ellipse region approximates the pupil form. Then, the snake-model uses the estimated ellipse as the initial contour. This proposed approach is approved on clinical samples of the videonystagmography (VNG) from patient who presented a congenital nystagmus.
  • Keywords
    biomechanics; biomedical optical imaging; eye; gaze tracking; image segmentation; image sequences; medical image processing; vibrations; video cameras; Otsu´s thresholding; VNG clinical samples; VNG sequence analysis; active contour model; congenital nystagmus patients; ellipse region detection; estimated ellipse; eye position estimation; eye position measurement; eye vibration amplitude; eye vibration duration; horizontal nystagmus algorithm; initial contour; pupil form approximation; pupil image segmentation; pupil tracking; snake-model; vertical nystagmus algorithm; vertical nystagmus tracking; videonystagmography applications; Active contours; Algorithm design and analysis; Conferences; Feature extraction; Image segmentation; Tracking; Active contour; Otsu´s thresholding; Videonystagmography(VNG); eye tracking; nystagmus;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, Applications and Systems Conference (IPAS), 2014 First International
  • Print_ISBN
    978-1-4799-7068-1
  • Type

    conf

  • DOI
    10.1109/IPAS.2014.7043278
  • Filename
    7043278