Record Details

A novel approach to video-based pupil tracking

DSpace at IIT Bombay

View Archive Info
 
 
Field Value
 
Title A novel approach to video-based pupil tracking
 
Creator KUMAR, N
KOHLBECHER, S
SCHNEIDER, E
 
Subject eye-movements
perception
algorithm
reflex
scene
mean-luminance filter
fast radial symmetry detector
edge detection
delaunay triangulation
luminance contrast filter
sub-pixel ellipse fitting
 
Description EyeSeeCam is a novel head mounted camera that is continuously oriented to the user's point of regard by the eye movement signals of a mobile video-based eye tracking device. We have devised a new eye tracking algorithm for EyeSeeCam which has low computational complexity and lends enough robustness in the detection of pupil centre. Accurate determination of the location of the centre of the pupil and processing speed are the most crucial requirements in such a real-time video-based eye-tracking system. However, occlusion of the pupil by artifacts such as eyelids, eyelashes, glints and shadows in the image of the eye and changes in the illumination conditions pose significant problems in the determination of pupil centre. Apart from robustness and accuracy, real-time eye-tracking applications demand low computational complexity as well. In our algorithm, the Fast Radial Symmetry Detector is used to give a rough estimate of the location of the pupil. An edge operator is used to produce the edge image. Unwanted artifacts are deleted in a series of logical steps. Then, Delaunay Triangulation is used to extract the pupil boundary from the edge image, based on the fact that the pupil is a convex hull. A luminance contrast filter is used to obtain an ellipse fit at the sub-pixel level. The ellipse fitting function is based on a non iterative least squares minimization approach. The pupil boundary was detected accurately in 96% of the cases, including those in which the pupil was occluded by more than half its size. The proposed algorithm is also robust against drastic changes in the environment, i.e., eye tracking in a closed room versus eye tracking in sunlight.
 
Publisher IEEE
 
Date 2011-10-24T16:16:00Z
2011-12-15T09:11:40Z
2011-10-24T16:16:00Z
2011-12-15T09:11:40Z
2009
 
Type Proceedings Paper
 
Identifier 2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9,1255-1262
978-1-4244-2793-2
1062-922X
http://dx.doi.org/10.1109/ICSMC.2009.5345909
http://dspace.library.iitb.ac.in/xmlui/handle/10054/15466
http://hdl.handle.net/100/2218
 
Source IEEE International Conference on Systems, Man and Cybernetics,San Antonio, TX,OCT 11-14, 2009
 
Language English