Thesis supervisor: Attila Fazekas
Location of studies (in Hungarian): University of Debrecen Faculty of Informatics Abbreviation of location of studies: DE IK
Description of the research topic:
Syllabus
Video has an interesting classification problem, because there are temporal and also spatial features. In the case of video, this interesting features can be used to solve several very important tasks.
Video surveillance has received many attention over the last years and one of the major research topic in computer vision. For example: abnormal event detection in videos, traffic and traffic sign recognition, video surveillance system for elderly people, etc.
Bibliography
1. K. A Joshi, D. G. Thakore: A Survey on Moving Object Detection and Tracking in Video Surveillance System. International Journal of Soft Computing and Engineering, Vol. 2., 2012, 44-48.
2. H. H. Aghdam, E. J. Heravi: Guide to Convolutional Neural Networks: A Practical Application to Traffic-Sign Detection and Classification. Springer, 1 edition. 2017.
3. C. Bovik: The Essential Guide to Video Processing. Academic Press, 1 edition. 2009.
4. M. H. Kolekar: Intelligent Video Surveillance Systems: An Algorithmic Approach. Chapman and Hall, 1 edition. 2018.
Deadline for application: 2021-11-15
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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