• László Czúni PhD, associate professor
• Katalin Katonáné dr. Tömördi, tutor
• Zsolt Vörösházi PhD, assistant professor
• Karim Ben Alaya, PhD student
• Richárd Rádli, PhD student

About the Head of Laboratory

László Czúni got his MSc diploma in 1996, and his PhD in 2001 from computer science. He started his career as an engineer, then became a senior research fellow, and now he is an associate professor at the University of Pannonia. His research and teaching interest covers different areas of digital image processing and pattern recognition. He has published more than eighty conference and journal articles, 3 international patterns, and is the co-author of 4 textbooks. He has been involved in the professional management and implementation of a number of successful science proposals and R&D development projects.

RG profile

Selected publications of László Czúni

• Alaya, K. B., & Czúni, L. (2021). Stochastic Modeling of Trees in Forest Environments. IEEE Access, 9, 69143- 69156.
• Nagy, A. M., Rashad, M., & Czúni, L. (2021). Active multiview recognition with hidden Markov temporal support. Signal, Image and Video Processing, 15(2), 315-322.
• Czúni, L., & Varga, P. Z. (2017). Time Domain Audio Features for Chainsaw Noise Detection Using WSNs. IEEE Sensors Journal, 17(9), 2917-2924.
• Seress, G., Lipovits, Á., Bókony, V., & Czúni, L. (2014). Quantifying the urban gradient: a practical method for broad measurements. Landscape and Urban Planning, 131, 42-50.
• Czúni, L., & Gál, M. (2012, September). Directional votes of optical flow projections for independent motion detection. In International Conference on Computer Vision and Graphics (pp. 329-336). Springer, Berlin, Heidelberg.
• Utasi, Á., & Czúni, L. (2010). Detection of unusual optical flow patterns by multilevel hidden Markov models. Optical Engineering, 49(1), 017201.
• Utasi, A., & Czúni, L. (2009). Detecting irregular camera events in time-multiplexed videos. Electronics letters, 45(18), 935-937.
• Czúni, L., Császár, G., & Licsár, A. (2006, August). Estimating the optimal quantization parameter in H. 264. In 18th International Conference on Pattern Recognition (ICPR'06) (Vol. 4, pp. 330-333). IEEE.
• Czúni, L., & Szirányi, T. (2001). Motion segmentation and tracking with edge relaxation and optimization using fully parallel methods in the cellular nonlinear network architecture. Real-Time Imaging, 7(1), 77-95.
• Szirányi, T., Zerubia, J., Czúni, L., Geldreich, D., & Kato, Z. (2000). Image segmentation using Markov random field model in fully parallel cellular network architectures. Real-Time Imaging, 6(3), 195-211.