Research seminar "An Overview of Various Face and Eyes Detection Algorithms for Driver Fatigue Monitoring Systems"

Abstract

In this presentation various methods and algorithms for face and eyes detection are examined in order to decide which of them are applicable for use in a driver fatigue monitoring system. In the case of face detection the standard Viola-Jones face detector has shown best results, while the method of finding the eye centers by means of gradients has proven to be most appropriate in the case of eyes detection. The later method has also a potential for retrieving behavioral parameters needed for estimation of the level of driver fatigue. This possibility will be examined in future work.

CV

Markan Lopar was born 1981 in Sombor, Serbia. He graduated from University of Zagreb, Faculty of Electrical Engineering and Computing in 2010. From March 2011 to December 2012 he worked as an expert associate on international FP7 project „ANIMPOL - Biotechnological Conversion of Carbon Containing Wastes for Eco-Efficient Production of High-Value Products“ at Faculty of Food Technology and Biotechnology in Zagreb. He is presently employed as a research associate at Faculty of Electrical Engineering and Computing on IPA project “VISTA – Computer Vision Innovations for Safe Traffic”, where he works from April 2013. His research interests include pattern recognition, biometrics, computer vision, as well as biochemical engineering and metabolic network modelling. He is a co-author of several scientific papers in international scientific journals and conferences. He has a full professional proficiency in English, as well as limited working proficiency in German and Hungarian.