
Výzkum užitečný pro společnost.
Project Details
SMARTCarPark - Monitorování, analýza a re-identifikace dopravy pro pokročilé parkování vozidel
Project Period: 1. 1. 2018 – 31. 12. 2020
Project Type: grant
Code: TH03010529
Agency: Technologická agentura ČR
Program: Program na podporu aplikovaného výzkumu a experimentálního vývoje EPSILON (2015-2025)
Traffic Analysis; Visual Surveillance; Computer Vision; Law Enforcement;
Intelligent Transportation Systems; Metropolitan Congestion; Smart Cities; Public
Parking
The aim of the project is to develop a new functionality of a parking monitoring
system using surveillance camera systems. Parking monitoring will be implemented
by monitoring and analyzing the movement of vehicles in the monitored area. The
main goal is placed on the non-invasiveness of the proposed solution and the
maximization of anonymous vehicle traffic monitoring only with the use of visual
features without unambiguous vehicle identification, ie. with the protection of
personal data. By creating the proposed solution, it will be possible to make
transport and parking in cities more efficient.
Bartl Vojtěch, Ing., Ph.D. (DCGM)
Folenta Ján, Ing.
Juránek Roman, Ing., Ph.D. (DCGM)
Očenášek Matěj, Ing.
Sochor Jakub, Ing., Ph.D.
Sonth Akash Prakash
Špaňhel Jakub, Ing., Ph.D. (DCGM)
Zemánek Ondřej, Ing.
2020
- BARTL, V.; JURÁNEK, R.; ŠPAŇHEL, J.; HEROUT, A. PlaneCalib: Automatic Camera Calibration by Multiple Observations of Rigid Objects on Plane. In 2020 International Conference on Digital Image Computing: Techniques and Applications (DICTA). Melbourne: Institute of Electrical and Electronics Engineers, 2020.
p. 1-8. ISBN: 978-1-7281-9108-9. Detail - DOBEŠ, P.; ŠPAŇHEL, J.; BARTL, V.; JURÁNEK, R.; HEROUT, A. Density-Based Vehicle Counting with Unsupervised Scale Selection. In Digital Image Computing: Techniques and Applications 2020. Melbourne: Institute of Electrical and Electronics Engineers, 2020.
p. 1-8. ISBN: 978-1-7281-9108-9. Detail
2018
- SOCHOR, J.; ŠPAŇHEL, J.; JURÁNEK, R.; DOBEŠ, P.; HEROUT, A. Graph@FIT Submission to the NVIDIA AI City Challenge 2018. In NVIDIA AI City Challenge 2018 (CVPRW). Salt Lake City: IEEE Computer Society, 2018.
p. 77-84. ISBN: 978-1-5386-6100-0. Detail - ŠPAŇHEL, J.; SOCHOR, J.; JURÁNEK, R.; HEROUT, A. Geometric Alignment by Deep Learning for Recognition of Challenging License Plates. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC). Lahaina, Maui: IEEE Intelligent Transportation Systems Society, 2018.
p. 3524-3529. ISBN: 978-1-72810-321-1. ISSN: 2153-0017. Detail
2018
- Automatic Camera Calibration, software, 2018
Authors: BARTL, V.; ŠPAŇHEL, J.; JURÁNEK, R.; HEROUT, A.