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VISTA is a project whose overall objectives are strengthening of technology transfer and commercialization capacities of partner HEIs, transfer of existing computer vision applications from HEIs to SMEs, and developing new traffic- and transportation-related computer vision applications with commercial potential in collaboration with SMEs in the automotive industry sector.

The project is funded from the Regional Competitiveness Operational Programme 2007 - 2011 for Community Assistance under the IPA Regional Development Component in Croatia.

Published: 2015-02-26 at 11:24
Research seminar "The important...

We invite you to a VISTA research seminar:


"The important parameters for driver fatigue monitoring and their obtaining"


held by Markan Lopar, mag. ing.


The seminar will be held on friday 27.2.2015. at 14:15 in TCR.


More information about the seminar and about the speaker can be found in the detailed news content.


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.


In this seminar are introduced and explained some essential parameters for driver fatigue estimation. They are acquired from facial features which are in turn obtained by means of face alignment. These parameters include eye closeness, mouth openness, head pose, and gaze. They are combined into inference engine that estimates the degree of drivers vigilance.

Iva Harbaš
News list



This project is cofinanced by the European Union from the European Regional Development Fund.


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