Real Time Face-Tracking And Iris Localization

Robust, non-intrusive human eye detection problem has been a fundamental and challenging problem for computer vision area. Not only it is a problem of its own, it can be used to ease the problem of finding the locations of other facial features for recognition tasks and human-computer interaction...

Full description

Saved in:

Bibliographic Details
Main Author:	Razalli, Husniza
Format:	Thesis
Language:	English English
Published:	2009
Subjects:	Visual perception Human-computer interaction Image processing
Online Access:	http://psasir.upm.edu.my/id/eprint/11928/1/FSKTM_2009_9.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-upm-ir.11928
record_format	uketd_dc
spelling	my-upm-ir.119282024-06-27T03:33:03Z Real Time Face-Tracking And Iris Localization 2009-11 Razalli, Husniza Robust, non-intrusive human eye detection problem has been a fundamental and challenging problem for computer vision area. Not only it is a problem of its own, it can be used to ease the problem of finding the locations of other facial features for recognition tasks and human-computer interaction purposes as well. Many previous works have the capability of determining the locations of the human eyes but the main task in this thesis is not only a vision system with eye detection capability. Our aim is to design a real-time, robust, scale-invariant face tracker system with human eye movement indication property using the movements of iris based on localization technique indicate from image processing and circle fitting technique. As a result, our eye tracker system was successfully implemented using non-intrusive webcam with less error. Visual perception Human-computer interaction Image processing 2009-11 Thesis http://psasir.upm.edu.my/id/eprint/11928/ http://psasir.upm.edu.my/id/eprint/11928/1/FSKTM_2009_9.pdf text en public masters Universiti Putra Malaysia Visual perception Human-computer interaction Image processing Faculty of Computer Science And Infomation Technologi O. K. Rahmat, Rahmita Wirza English
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English English
advisor	O. K. Rahmat, Rahmita Wirza
topic	Visual perception Human-computer interaction Image processing
spellingShingle	Visual perception Human-computer interaction Image processing Razalli, Husniza Real Time Face-Tracking And Iris Localization
description	Robust, non-intrusive human eye detection problem has been a fundamental and challenging problem for computer vision area. Not only it is a problem of its own, it can be used to ease the problem of finding the locations of other facial features for recognition tasks and human-computer interaction purposes as well. Many previous works have the capability of determining the locations of the human eyes but the main task in this thesis is not only a vision system with eye detection capability. Our aim is to design a real-time, robust, scale-invariant face tracker system with human eye movement indication property using the movements of iris based on localization technique indicate from image processing and circle fitting technique. As a result, our eye tracker system was successfully implemented using non-intrusive webcam with less error.
format	Thesis
qualification_level	Master's degree
author	Razalli, Husniza
author_facet	Razalli, Husniza
author_sort	Razalli, Husniza
title	Real Time Face-Tracking And Iris Localization
title_short	Real Time Face-Tracking And Iris Localization
title_full	Real Time Face-Tracking And Iris Localization
title_fullStr	Real Time Face-Tracking And Iris Localization
title_full_unstemmed	Real Time Face-Tracking And Iris Localization
title_sort	real time face-tracking and iris localization
granting_institution	Universiti Putra Malaysia
granting_department	Faculty of Computer Science And Infomation Technologi
publishDate	2009
url	http://psasir.upm.edu.my/id/eprint/11928/1/FSKTM_2009_9.pdf
_version_	1804888667375796224

Real Time Face-Tracking And Iris Localization

Similar Items