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Real Time Face-Tracking And Iris Localization


Citation

Razalli, Husniza (2009) Real Time Face-Tracking And Iris Localization. Masters thesis, Universiti Putra Malaysia.

Abstract / Synopsis

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.


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Additional Metadata

Item Type: Thesis (Masters)
Subject: Visual perception
Subject: Human-computer interaction
Subject: Image processing
Call Number: FSKTM 2009 9
Chairman Supervisor: Rahmita Wirza O. K. Rahmat, PhD
Divisions: Faculty of Computer Science and Information Technology
Depositing User: Mohd Nezeri Mohamad
Date Deposited: 19 Jul 2011 11:43
Last Modified: 27 May 2013 15:50
URI: http://psasir.upm.edu.my/id/eprint/11928
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