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 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.

Autorentext

Husniza binti Razalli, 29, is a researcher of Multimedia Application at TM Research & Development Berhad. She received B.Sc. degrees in Multimedia in 2005 and M.Sc. degrees in Computer Graphic in 2010 from Universiti Putra Malaysia. She is currently pursuing her PhD degrees with the Computer Graphics, Vision and Visualization Research group