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Performance Analysis of Eye localization Methods for Real Time Vision Interface using Low Grade Video Camera

by Krupa Jariwala, Upena Dalal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 2
Year of Publication: 2015
Authors: Krupa Jariwala, Upena Dalal
10.5120/19952-1777

Krupa Jariwala, Upena Dalal . Performance Analysis of Eye localization Methods for Real Time Vision Interface using Low Grade Video Camera. International Journal of Computer Applications. 114, 2 ( March 2015), 33-40. DOI=10.5120/19952-1777

@article{ 10.5120/19952-1777,
author = { Krupa Jariwala, Upena Dalal },
title = { Performance Analysis of Eye localization Methods for Real Time Vision Interface using Low Grade Video Camera },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 2 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 33-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number2/19952-1777/ },
doi = { 10.5120/19952-1777 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:51:39.024070+05:30
%A Krupa Jariwala
%A Upena Dalal
%T Performance Analysis of Eye localization Methods for Real Time Vision Interface using Low Grade Video Camera
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 2
%P 33-40
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

It is necessary to correctly and precisely achieve eye localization, which is a fundamental step for the initialization for other eye localization based applications. There are various methods including special equipment based methods and image based methods to perform this task. Special equipment based methods are very accurate but not practical for day to day use. Image based approaches are user friendly, allows free head movement, avoids specialized hardware and infrared exposure but more difficult to implement. Performance is analysed for state of the art eye localization methods for real time vision interface using low grade camera that use similar objective criterion for error measurement on standard dataset for fair judgment. Finally their localization results are compared based on various error values and rank.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Eye Localization Performance Analysis.

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