Real-time eye tracking and iris localization

• Main Authors: Razalli, Husniza, O. K. Rahmat, Rahmita Wirza, Mahmod, Ramlan
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2009
• Online Access: http://psasir.upm.edu.my/id/eprint/16437/1/Real.pdf; http://psasir.upm.edu.my/id/eprint/16437/; https://jurnalteknologi.utm.my/index.php/jurnalteknologi/article/view/166
• Institution: 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 paper is not only a vision system with eye detection capability.Our aim is to design a real-time face tracker system and iris localization using edge point detection method indicates from image processing and circle fitting technique. As a result, our eye tracker system was successfully implemented using non-intrusive webcam with less error.