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
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;
Conference_Titel :
Image Processing, Applications and Systems Conference (IPAS), 2014 First International
Print_ISBN :
978-1-4799-7068-1
DOI :
10.1109/IPAS.2014.7043278