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Reseach Article

Particle Filtering in the Design of an Accurate Pupil Tracking System

by Morteza Sadri, Kaveh Kangarloo, Fardad Farokhi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 51 - Number 8
Year of Publication: 2012
Authors: Morteza Sadri, Kaveh Kangarloo, Fardad Farokhi
10.5120/8060-1424

Morteza Sadri, Kaveh Kangarloo, Fardad Farokhi . Particle Filtering in the Design of an Accurate Pupil Tracking System. International Journal of Computer Applications. 51, 8 ( August 2012), 6-11. DOI=10.5120/8060-1424

@article{ 10.5120/8060-1424,
author = { Morteza Sadri, Kaveh Kangarloo, Fardad Farokhi },
title = { Particle Filtering in the Design of an Accurate Pupil Tracking System },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 51 },
number = { 8 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 6-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume51/number8/8060-1424/ },
doi = { 10.5120/8060-1424 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:49:50.664456+05:30
%A Morteza Sadri
%A Kaveh Kangarloo
%A Fardad Farokhi
%T Particle Filtering in the Design of an Accurate Pupil Tracking System
%J International Journal of Computer Applications
%@ 0975-8887
%V 51
%N 8
%P 6-11
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Accurate pupil tracking plays an important role in many sophisticated applications such as HCI , behavioral research, driver's fatigue detection and marketing. In this study particle filter helps us to track pupil in video frames under active IR illumination. The proposed method can be categorized as follow; The eye video is captured by a HMD camera, then precise location of the pupil is determined by thresholding and applying Snake algorithm, next the contour of the detected pupil is modeled with an ellipse, finally the parameters of the ellipse such as center coordinates and major & minor axiss are tracked by particle filter. Experimental results of the proposed method which applied to 20 different subjects, demonstrate the accuracy of the proposed method.

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Index Terms

Computer Science
Information Sciences

Keywords

Pupil tracking Snake algorithm HMD camera Particle filter