Materials for CS775 students or other interested people:

 

Classifier 1: Closed-eye detector (.xml)

To obtain the highest performance for the developed classifier, please refer to the publications below:

Mahdi Rezaei, Reinhard Klette, “Novel Adaptive Eye Detection and Tracking for Challenging Lighting Conditions”, ACCV 2012 Workshops, Springer Lecture Notes in Computer Science, Vol. 7729, pp. 427-440, 2012. PDF

Mahdi Rezaei, Reinhard Klette, “3D Cascade of Classifiers for Open and Closed Eye Detection in Driver Distraction monitoring”, 14th Intl. Conf. CAIP 2011, Volume 6855, Pages 171-179, 2011. PDF

Terms and Conditions:

1- Students and researches who use the closed-eye classifier in any form, ACCEPT to cite the above mentioned publications in their reports, manuscript, or papers.

2- The classifier is not allowed for any commercial purposes.

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Tutorial 1: Creating a Cascade of Haar-like Classifiers: Step by Step

Haar Training Tools and Dataset  Objetcmarker / XML Classifier / AdaBoost

 

Tutorial 2: Face and Eye Detection Using OpenCV: Step by Step

Face Detection Source Code Visual Studio / C++ / OpenCV