%0 Journal Article
%T Real-Time Gaze Tracking with Appearance-Based Models
%A Francisco Javier Orozco
%A Xavier Roca
%A Jordi Gonzalez
%J Machine Vision Applications
%D 2008
%V 20
%N 6
%F Francisco Javier Orozco2008
%O ISE
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=972), last updated on Tue, 29 Oct 2019 09:49:24 +0100
%X Psychological evidence has emphasized the importance of eye gaze analysis in human computer interaction and emotion interpretation. To this end, current image analysis algorithms take into consideration eye-lid and iris motion detection using colour information and edge detectors. However, eye movement is fast and and hence difficult to use to obtain a precise and robust tracking. Instead, ourmethod proposed to describe eyelid and iris movements as continuous variables using appearance-based tracking. This approach combines the strengths of adaptive appearance models, optimization methods and backtracking techniques.Thus,in the proposed method textures are learned on-line from near frontal images and illumination changes, occlusions and fast movements are managed. The method achieves real-time performance by combining two appearance-based trackers to abacktracking algorithm for eyelid estimation and another for iris estimation. These contributions represent a significant advance towards a reliable gaze motion description for HCI and expression analysis, where the strength of complementarymethodologies are combined to avoid using high quality images, colour information, texture training, camera settings and other time-consuming processes.
%K Keywords Eyelid and iris tracking
%K Appearance models
%K Blinking
%K Iris saccade
%K Real-time gaze tracking
%U http://dx.doi.org/10.1007/s00138-008-0130-6
%P 353-364