Razalli, Husniza (2009) Real Time Face-Tracking And Iris Localization. Masters thesis, Universiti Putra Malaysia.
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.
|Item Type:||Thesis (Masters)|
|Chairman Supervisor:||Rahmita Wirza O. K. Rahmat, PhD|
|Call Number:||FSKTM 2009 9|
|Faculty or Institute:||Faculty of Computer Science and Information Technology|
|Deposited By:||Mohd Nezeri Mohamad|
|Deposited On:||19 Jul 2011 03:43|
|Last Modified:||27 May 2013 07:50|
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