Department of Information Systems

Tools and Methods for Video and Image Processing for the Fight against Terrorism

Reseach leader:Zendulka Jaroslav
Team leaders:Drahanský Martin, Zemčík Pavel
Team members:Bařina David, Beran Vítězslav, Fröml Vojtěch (FIT VUT), Herman David, Herout Adam, Hradiš Michal, Chmelař Petr, Láník Aleš, Mráček Štěpán (FIT VUT), Orság Filip, Pešek Martin, Váňa Jan, Volf Tomáš
Keywords:video processing, image processing, biometry data, search, metrics of successfulness, functional sample
The project is oriented towards processing of records containing image and video information. The target is to create a functional sample of a system to allow categorization, searching, comparison of biometry and other forms of processing of image/video information. Other targets are methods, algorithms, and metrics of image and video processing, possibly also publications and industrial protection of results.


2015FaceLib, software, 2015
Authors: Mráček Štěpán
 VTSense, software, 2015
Authors: Mráček Štěpán
2014ENGLISH, software, 2014
Authors: Váňa Jan, Drahanský Martin
 Videosequences Summarization Tool, software, 2014
Authors: Klicnar Lukáš, Beran Vítězslav
2013Stationary one camera system for tracking of far objects, specimen, 2013
Authors: Orság Filip, Drahanský Martin
 Video differences analyzer, software, 2013
Authors: Klicnar Lukáš, Beran Vítězslav
2012Image detection using AdaBoost in VHDL, software, 2012
Authors: Musil Petr, Musil Martin, Zemčík Pavel, Juránek Roman
 ITS, software, 2012
Authors: Hradiš Michal, Kolář Martin, Král Jiří, Láník Aleš, Nohejl Petr, Procházka Václav, Smrž Pavel, Zemčík Pavel
 SUNAR-ED: Evend Detection in a Surveillance Network, software, 2012
Authors: Chmelař Petr, Pešek Martin, Volf Tomáš
 VTApi: Computer Vision Data Management Framework, software, 2012
Authors: Chmelař Petr, Fröml Vojtěch, Volf Tomáš, Zendulka Jaroslav


2015MRÁČEK Štěpán, DVOŘÁK Radim, VÁŇA Jan, NOVOTNÝ Tomáš and DRAHANSKÝ Martin. 3D Face Recognition Utilizing a Low-Cost Depth Sensor. In: 11th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2015). Ljubljana, 2015, pp. 1-1.
2014MRÁČEK Štěpán, DRAHANSKÝ Martin, DVOŘÁK Radim, PROVAZNÍK Ivo and VÁŇA Jan. 3D Face Recognition on Low-Cost Depth Sensors. In: Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG 2014). Darmstadt: GI - Group for computer science, 2014, pp. 195-202. ISBN 978-3-88579-624-4. ISSN 1617-5468.
 MRÁČEK Štěpán, VÁŇA Jan, KUPKOVÁ Karolína, DRAHANSKÝ Martin and DOLEŽEL Michal. 3D face recognition based on the hierarchical score-level fusion classifiers. In: Proceedings of Biometric and Surveillance Technology for Human and Activity Identification XI, Vol. 9075. Baltimore: SPIE - the international society for optics and photonics, 2014, pp. 1-12. ISBN 978-1-62841-012-9.
2013CHMELAŘ Petr, MLÍCH Jozef, PEŠEK Martin, VOLF Tomáš, ZEMČÍK Pavel and ZENDULKA Jaroslav. Brno University of Technology at TRECVid 2013: Interactive Surveillance Event Detection. In: 2013 TREC Video Retrieval Evaluation Notebook Papers and Slides. Gaithersburg, 2013, pp. 1-9.
 CHMELAŘ Petr, PEŠEK Martin, VOLF Tomáš, ZENDULKA Jaroslav and FRÖML Vojtěch. VTApi: an Efficient Framework for Computer Vision Data Management and Analytics. In: Advanced Concepts for Intelligent Vision Systems (ACIVS) - Proceedings of the 15th International Conference, ACIVS 2013. Poznań: Springer London, 2013, pp. 378-388. ISBN 978-3-319-02894-1.
 KLICNAR Lukáš, BERAN Vítězslav and ZEMČÍK Pavel. Dissimilarity Detection of Two Video Sequences. In: Proceedings of SCCG 2013. Smolenice: Comenius University in Bratislava, 2013, pp. 28-31. ISBN 978-80-223-3377-1. ISSN 1335-5694.
 NAHHAS Ibrahim and DRAHANSKÝ Martin. Analysis of Block Matching Algorithms with Fast Computational and Winner-update Strategies. International Journal of Signal Processing, Image Processing and Pattern Recognition. 2013, vol. 6, no. 3, pp. 129-137. ISSN 2005-4254.
 NAHHAS Ibrahim. A New Algorithm for Fast Block-Matching Motion Estimation Based on Four-Neighborhood Blocks. In: Processing of EEICT 2013. Brno: Faculty of Electrical Engineering and Computing, University of Zagreb, 2013, pp. 1-6. ISBN 978-80-214-4695-3.
 ZEMČÍK Pavel, JURÁNEK Roman, MUSIL Martin, MUSIL Petr and HRADIŠ Michal. High Performance Architecture for Object Detection in Streamed Videos. In: Proceedings of FPL 2013. Porto: IEEE Circuits and Systems Society, 2013, pp. 1-4. ISBN 978-1-4799-0004-6.
2012CHMELAŘ Petr, MLÍCH Jozef, PEŠEK Martin, VOLF Tomáš, ZEMČÍK Pavel and ZENDULKA Jaroslav. Brno University of Technology at TRECVid 2012: Interactive Surveillance Event Detection Pilot. In: 2012 TREC Video Retrieval Evaluation Notebook Papers and Slides. Gaithersburg: National Institute of Standards and Technology, 2012, pp. 1-9.
 HERMAN David, ORSÁG Filip and DRAHANSKÝ Martin. Object Tracking in Monochromatic Video Sequences Using Particle Filter. In: 7th Scientific International Conference - Enviromental Protection of Population. Brno: Karel Englis College Inc., 2012, pp. 120-128. ISBN 978-80-86710-57-0.
 NAHHAS Ibrahim and DRAHANSKÝ Martin. Comparison of Fast Block Matching Algorithms for Motion Estimation. In: Proceedings of IMC2012. Hradec Králové: Ministerstvo průmyslu a obchodu ČR, 2012, pp. 3139-3145. ISBN 978-80-905243-3-0.
 VOLF Tomáš. Porovnání výkonnosti databází pohybujících se objektů. In: Proceedings of the Student Research Conference. Ostrava: Faculty of Science, University od Ostrava, 2012, p. 4. ISBN 978-80-7368-966-7.
 VOLF Tomáš. The Application Interface for Video Databases. In: Proceedings of the 18th Conference STUDENT EEICT 2012. Brno: Brno University of Technology, 2012, pp. 415-419. ISBN 978-80-214-4462-1.
 ZENDULKA Jaroslav and PEŠEK Martin. Mining Moving Object Data. Central European Journal of Computer Science. 2012, vol. 2, no. 3, pp. 183-193. ISSN 1896-1533.
2011BERAN Vítězslav, HRADIŠ Michal, OTRUSINA Lubomír and ŘEZNÍČEK Ivo. TRECVID 2011: Participant Notebook Papers and Slides. In: TRECVID 2011: Participant Notebook Papers and Slides. Gaithersburg, MD: National Institute of Standards and Technology, 2011, p. 10.
 ZENDULKA Jaroslav. Mining Moving Object Data. In: Proceedings of the Eleventh International Conference on Informatics. Košice: Faculty of Electrical Engineering and Informatics, University of Technology Košice, 2011, pp. 16-21. ISBN 978-80-89284-94-8.

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