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