Project Details

Nástroje a metody zpracování videa a obrazu pro boj s terorismem

Project Period: 1. 10. 2010 – 30. 9. 2015

Project Type: grant

Code: VG20102015006

Agency: Ministerstvo vnitra ČR

Program: Program bezpečnostního výzkumu České republiky 2010 - 2015

English title
Tools and Methods for Video and Image Processing for the Fight against Terrorism
Type
grant
Keywords

video processing, image processing, biometry data, search, metrics of
successfulness, functional sample

Abstract

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.

Team members
Zendulka Jaroslav, doc. Ing., CSc. (UIFS) – research leader
Bařina David, Ing., Ph.D. (DCGM)
Beran Vítězslav, doc. Ing., Ph.D. (DCGM)
Drahanský Martin, prof. Ing., Ph.D.
Fröml Vojtěch, Ing.
Herman David, Ing.
Herout Adam, prof. Ing., Ph.D. (DCGM)
Hradiš Michal, Ing., Ph.D. (DCGM)
Chmelař Petr, Ing.
Kapinus Michal, Ing., Ph.D. (DCGM)
Láník Aleš, Ing.
Materna Zdeněk, Ing., Ph.D. (DCGM)
Mráček Štěpán, Ing., Ph.D.
Orság Filip, Ing., Ph.D. (DITS)
Pešek Martin, Ing.
Váňa Jan, Ing.
Volf Tomáš, Ing. (DIFS)
Zemčík Pavel, prof. Dr. Ing., dr. h. c. (DCGM)
Publication Results

2015

  • CHMELAŘ, P.; DROZD, M.; ŠEBEK, M.; ZENDULKA, J. Real-Time Indexing of Complex Data Streams. In Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering. Lecture Notes in Electrical Engineering. Cham: Springer International Publishing, 2015. p. 371-378. ISBN: 978-3-319-06772-8. Detail
  • MRÁČEK, Š.; DVOŘÁK, R.; VÁŇA, J.; NOVOTNÝ, T.; DRAHANSKÝ, M. 3D Face Recognition Utilizing a Low-Cost Depth Sensor. 11th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2015). Ljubljana: 2015. p. 1 (1 s.). ISBN: 978-1-4799-6026-2. Detail

2014

  • HRADIŠ, M.; KOLÁŘ, M.; SVOBODA, P.; ZEMČÍK, P.; SMRŽ, P. Large Scale Image Classification by Brno University of Technology. Poster. Zurich: 2014. 1 p. Detail
  • MRÁČEK, Š.; DRAHANSKÝ, M.; DVOŘÁK, R.; PROVAZNÍK, V.; VÁŇA, J. 3D Face Recognition on Low-Cost Depth Sensors. In Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG 2014). GI-Edition Lecture Notes in Informatics (LNI). Darmstadt: GI - Group for computer science, 2014. no. 230, p. 195-202. ISBN: 978-3-88579-624-4. ISSN: 1617-5468. Detail
  • MRÁČEK, Š.; VÁŇA, J.; KUPKOVÁ, K.; DRAHANSKÝ, M.; DOLEŽEL, M. 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. p. 1-12. ISBN: 978-1-62841-012-9. Detail

2013

  • CHMELAŘ, P.; MLÍCH, J.; PEŠEK, M.; VOLF, T.; ZEMČÍK, P.; ZENDULKA, J. Brno University of Technology at TRECVid 2013: Interactive Surveillance Event Detection. 2013 TREC Video Retrieval Evaluation Notebook Papers and Slides. Gaithersburg: 2013. p. 1-9. Detail
  • CHMELAŘ, P.; PEŠEK, M.; VOLF, T.; ZENDULKA, J.; FRÖML, V. VTApi: an Efficient Framework for Computer Vision Data Management and Analytics. Advanced Concepts for Intelligent Vision Systems (ACIVS) - Proceedings of the 15th International Conference, ACIVS 2013. Lecture Notes in Computer Science (LNCS), Volume 8192 2013. Poznań: Springer London, 2013. p. 378-388. ISBN: 978-3-319-02894-1. Detail
  • KLICNAR, L.; BERAN, V.; ZEMČÍK, P. Dissimilarity Detection of Two Video Sequences. Proceedings of SCCG 2013. Proceeding of Spring Conference on Computer Graphics. Conference Materials and Posters. Smolenice: Comenius University in Bratislava, 2013. no. 5, p. 28-31. ISBN: 978-80-223-3377-1. ISSN: 1335-5694. Detail
  • NAHHAS, I. A New Algorithm for Fast Block-Matching Motion Estimation Based on Four-Neighborhood Blocks. Processing of EEICT 2013. Brno: Faculty of Electrical Engineering and Computing, University of Zagreb, 2013. p. 1-6. ISBN: 978-80-214-4695-3. Detail
  • NAHHAS, I.; DRAHANSKÝ, M. 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, p. 129-137. ISSN: 2005-4254. Detail
  • ZEMČÍK, P.; JURÁNEK, R.; MUSIL, M.; MUSIL, P.; HRADIŠ, M. High Performance Architecture for Object Detection in Streamed Videos. Proceedings of FPL 2013. Porto: IEEE Circuits and Systems Society, 2013. p. 1-4. ISBN: 978-1-4799-0004-6. Detail
  • ZEMČÍK, P.; JURÁNEK, R.; MUSIL, P.; MUSIL, M.; HRADIŠ, M. High performance architecture for object detection in streamed video. Poster. New York: 2013. 1 p. Detail
  • ZEMČÍK, P.; JURÁNEK, R.; MUSIL, P.; MUSIL, M.; HRADIŠ, M. High performance FPGA object detector: Hardware prototype. Proceedings of FPL 2013. Porto: 2013. p. 1 (1 s.). ISBN: 978-1-4799-0004-6. Detail

2012

  • CHMELAŘ, P.; MLÍCH, J.; PEŠEK, M.; VOLF, T.; ZEMČÍK, P.; ZENDULKA, J. Brno University of Technology at TRECVid 2012: Interactive Surveillance Event Detection Pilot. 2012 TREC Video Retrieval Evaluation Notebook Papers and Slides. Gaithersburg: National Institute of Standards and Technology, 2012. p. 1-9. Detail
  • HERMAN, D.; ORSÁG, F.; DRAHANSKÝ, M. Object Tracking in Monochromatic Video Sequences Using Particle Filter. In 7th Scientific International Conference - Enviromental Protection of Population. Brno: Karel Englis College Inc., 2012. p. 120-128. ISBN: 978-80-86710-57-0. Detail
  • NAHHAS, I.; DRAHANSKÝ, M. Comparison of Fast Block Matching Algorithms for Motion Estimation. Proceedings of IMC2012. Hradec Králové: Ministry of Industry and Trade of the Czech Republic, 2012. p. 3139-3145. ISBN: 978-80-905243-3-0. Detail
  • VOLF, T. Porovnání výkonnosti databází pohybujících se objektů. Proceedings of the Student Research Conference. Ostrava: Přírodovědecká fakulta Ostravské univerzity v Ostravě, 2012. s. 1-4. ISBN: 978-80-7368-966-7. Detail
  • VOLF, T. The Application Interface for Video Databases. Proceedings of the 18th Conference STUDENT EEICT 2012. vol. 3. Brno: Brno University of Technology, 2012. p. 415-419. ISBN: 978-80-214-4462-1. Detail
  • ZENDULKA, J.; PEŠEK, M. Mining Moving Object Data. Central European Journal of Computer Science, 2012, vol. 2, no. 3, p. 183-193. ISSN: 1896-1533. Detail

2011

  • BERAN, V.; HRADIŠ, M.; ŘEZNÍČEK, I.; OTRUSINA, L. Content-based Copy Detection. In 2011 TREC Video Retrieval Evaluation Notebook Papers. Gaithersburg, MD: National Institute of Standards and Technology, 2011. p. 1-10. Detail
  • ZENDULKA, J. Mining Moving Object Data. Proceedings of the Eleventh International Conference on Informatics. Košice: Faculty of Electrical Engineering and Informatics, University of Technology Košice, 2011. p. 16-21. ISBN: 978-80-89284-94-8. Detail
Applied Results

2016

2015

2014

2013

2012

2011

Other Results

2015

2014

2013

2012

2011

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