Assist. Prof. PhD Matej Kristan
Associate Professor
T: +386 1 479 8225
E: matej.kristan@fri.uni-lj.si
Office hours: Wednesday 10:00-11:00
Room: R2.57
Description

Matej Kristan is an assistant professor at the Faculty of Computer and Information Science and at the Faculty of Electrical Engineering at the University of Ljubljana, at which he received his doctorate in electrical engineering in 2008. His research interests lie in the field of statistical methods for machine learning with application in computer vision. In the context of computer vision his research focuses on methods for object tracking, dynamic stochastic models, object detection and categorization using hierarchical models, and applications of computer vision on mobile robots.

Activities and events
  • Coorganizer of the Computer Vision Winter Workshop 2012, Mala Nedelja, Slovenija, 1-3 februar, 2012. (http://cvww2012.vicos.si/)
  • Member of a supervisory board of Slovenian pattern recognition society, SDRV
Awards

2010 Award for contributions in popularization of Computer and information science, awarded by the Faculty of Computer and Information Science, University of Ljubljana

2009 Vodovnikova nagrada - Vodovnik Award for doctoral thesis, awarded by the Faculty of Electrical Engineering, University of Ljubljana

2009 Award for excellent research achievements in the last years, awarded by the Faculty of Computer and Information Science, University of Ljubljana

2009 Innovation award for applicative project “Intelligent security system for surveillance of small areas”, at Innovation forum, sponsored by Slovenian business and foreign investment agency. (shared with coauthors: GAMS, Matjaž, PILTAVER, Rok, DOVGAN, Erik, PERŠ, Janez, PLANINA, Andrej, PINTARIČ, Gašper, POGORELC, Bogdan)

2005 Best paper award at the International Symposium on Image and Signal Processing and Analysis ISPA2005, for the paper “Multiple interacting targets tracking with application to team sports”.

Publications

KRISTAN, Matej, LEONARDIS, Aleš. Online discriminative kernel density estimator with Gaussian kernels. IEEE trans. cybern. (Print), 2013 (1st of 21 journals in computer science, cybernetics, IFactor(2012):3.236)

ČEHOVIN, Luka, KRISTAN, Matej, LEONARDIS, Aleš. Robust visual tracking using an adaptive coupled-layer visual model, IEEE Trans. Pattern Analysis and Machine Intelligence, 2012 (1st of 108 journals in computer science, artificial intelligence, IFactor(2010):5.027)

KRISTAN, Matej, LEONARDIS, Aleš, SKOČAJ, Danijel. Multivariate online kernel density estimation with Gaussian kernels. Pattern recognition, 2011
(16th of 108 journals in computer science, artificial intelligence, IFactor(2010):2.607)

KRISTAN, Matej, KOVAČIČ, Stanislav, LEONARDIS, Aleš, PERŠ, Janez. A two-stage dynamic model for visual tracking. IEEE trans. syst. man cybern., Part B, Cybern., Dec. 2010
(1nd of 20 journals in computer science, cybernetics, IFactor(2011):3.080)

KRISTAN, Matej, SKOČAJ, Danijel, LEONARDIS, Aleš. Online kernel density estimation for interactive learning. Image and Vision Computing, Jul. 2010
(45th of 108 journals in computer science, artificial intelligence, IFactor(2010):1.525)

KRISTAN, Matej, PERŠ, Janez, PERŠE, Matej, KOVAČIČ, Stanislav. Closed-world tracking of multiple interacting targets for indoor-sports applications. Computer Vision and Image Understanding, May 2009
(20th of 108 journals in computer science, artificial intelligence, IFactor(2010):2.404)

KRISTAN, Matej, PERŠ, Janez, KOVAČIČ, Stanislav, LEONARDIS, Aleš. A local-motion-based probabilistic model for visual tracking. Pattern recognition, Sep. 2009
(16th of 108 journals in computer science, artificial intelligence, IFactor(2010):2.607)

KRISTAN, Matej, PERŠ, Janez, PERŠE, Matej, KOVAČIČ, Stanislav. A Bayes-spectral-entropy-based measure of camera focus using a discrete cosine transform. Pattern recognition letters, Oct. 2006
(62th of 108 journals in computer science, artificial intelligence, IFactor(2010):1.213)

KLANČAR, Gregor, LEPETIČ, Marko, KRISTAN, Matej, KARBA, Rihard. Vision system design for mobile robot tracking. V: LIU, John X. (ur.). Mobile robots : new research. New York: Nova Science, cop. 2005

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