Cart (Loading....) | Create Account
Close category search window
 

Estimation for the eye movement using the spanning tree of transition probability-based graphs

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Szalai, S. ; Fac. of Inf. Technol., Pazmany Peter Catholic Univ., Budapest, Hungary ; Vidnyanszky, Z. ; Sziranyi, T.

In this paper, we present an algorithm for estimating the eye movement looking at a picture. Our solution is based on human data measured by a wearable eye tracker device which is able to record the user's eye movement during the record. From the same video streams, measuring the artificial salient points on the image by machine vision algorithms, the clusters of these points are assigned according to human measurement data in a learning procedure, and, as a result, transition probability tables are generated containing information on the behavior of a human subject. Using these data, we constructed an algorithm that estimates the movement of the eye on a picture taken in a similar place and during similar conditions. The algorithm generates graphs based on these probability tables and uses their spanning trees to calculate the position of the points that are likely to be visited by the gaze in human experiments. We compared the results with real human tests where subjects were expected to look at the pictures for a certain time.

Published in:

Cognitive Infocommunications (CogInfoCom), 2011 2nd International Conference on

Date of Conference:

7-9 July 2011

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.