Home Search AA

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: 2014-05-22 at 09:43
Research seminar "Detection of...

We invite you to a VISTA research seminar:


"Detection of Roadside Vegetation using Features from the Visible Spectrum"


held by Iva Harbaš, mag. ing.


The seminar will be held on friday 23.5.2014. at 14:15 in TCR.


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


Detection of vegetation in images is a common procedure in remote sensing and is commonly applied to satellite and aerial images. Recently it has been applied to images recorded from within ground vehicles for autonomous navigation in outdoor environments. In this presentation we present our research in detecting roadside vegetation which is intended for traffic safety and infrastructure maintenance. While many published methods for vegetation detection are using Near Infrared images which are particularly suitable for vegetation detection, our method uses image features from the visible spectrum allowing the use of common on-board color camera. Our feature set consists of color features and texture features. One of our specific goals was to identify a useful texture feature set for the problem of vegetation detection. Based on the feature set, the detection is implemented using a Support Vector Machine algorithm. For training and testing purposes we recorded our own image database consisting of different images containing roadside vegetation in various conditions. We are presenting promising experimental results and a discussion of specific problems experienced or expected in real-world application of the method.



Iva Harbaš received her BSc and MSc degree from the Faculty of Electrical Engineering and Computing in Zagreb. She finished her undergraduate study program in Computing in 2010 with a specialization in Information Processing and Multimedia Systems and in 2012 she finished her master study program in Information and Communication Technology specializing in Information Processing. Currently,  she is employed at the Faculty of Electrical Engineering and Computing, University of Zagreb, as a research engineer at the Department of Electronic Systems and Information Processing, where she is pursuing her PhD degree. Her research interests are in the area of image processing and application of machine learning methods for solving problems in computer vision

Iva Harbaš
News list



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


The contents of this website are the sole responsibility of the University of Zagreb Faculty of Electrical Engineering and Computing and do not necessary reflect the views of the European Union.