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: Technology Agency of the Czech Republic
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.
Juránek Roman, Ing., Ph.D. (UPGM FIT VUT) , team leader
Sochor Jakub, Ing. (UPGM FIT VUT) , team leader
Špaňhel Jakub, Ing., Ph.D. (UPGM FIT VUT) , team leader
Bartl Vojtěch, Ing., Ph.D. (UPGM FIT VUT)
Folenta Ján, Ing. (FIT VUT)
Očenášek Matěj, Ing. (FEKT VUT)
Otáhal Matěj
Sonth Akash Prakash (FIT VUT)
Stiborová Hana
Špaňhelová Klára
Zemánek Ondřej, Ing. (FIT VUT)
2020
- DOBEŠ Petr, ŠPAŇHEL Jakub, BARTL Vojtěch, JURÁNEK Roman and HEROUT Adam. Density-Based Vehicle Counting with Unsupervised Scale Selection. In: Digital Image Computing: Techniques and Applications 2020. Melbourne: Institute of Electrical and Electronics Engineers, 2020, pp. 1-8. ISBN 978-1-7281-9108-9. Detail
- FOLENTA Ján, ŠPAŇHEL Jakub, BARTL Vojtěch and HEROUT Adam. Determining Vehicle Turn Counts at Multiple Intersections by Separated Vehicle Classes Using CNNs. In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 2020. Seattle, WA: IEEE Computer Society, 2020, pp. 2544-2549. ISBN 978-1-7281-9360-1. ISSN 2160-7516. Detail
- ŠPAŇHEL Jakub, SOCHOR Jakub, JURÁNEK Roman, DOBEŠ Petr, BARTL Vojtěch and HEROUT Adam. Learning Feature Aggregation in Temporal Domain for Re-Identification. Computer Vision and Image Understanding, vol. 192, no. 11, 2020, pp. 1-12. ISSN 1077-3142. Detail
- BARTL Vojtěch, JURÁNEK Roman, ŠPAŇHEL Jakub and HEROUT Adam. 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, pp. 1-8. ISBN 978-1-7281-9108-9. Detail
2019
- BARTL Vojtěch and HEROUT Adam. OptInOpt: Dual Optimization for Automatic Camera Calibration by Multi-Target Observations. In: 16th IEEE International Conference on Advanced Video and Signal-based Surveillance. Taipei: Institute of Electrical and Electronics Engineers, 2019, pp. 1-8. ISBN 978-1-7281-0990-9. Detail
- ŠPAŇHEL Jakub, BARTL Vojtěch, JURÁNEK Roman and HEROUT Adam. Vehicle Re-Identification and Multi-Camera Tracking in Challenging City-Scale Environment. In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 2019. Long Beach: IEEE Computer Society, 2019, pp. 150-158. ISSN 2160-7516. Detail
- JURÁNEK Roman, ŠPAŇHEL Jakub, SOCHOR Jakub, HEROUT Adam and NOVÁK Jan. Visual Analysis of Vehicle Trajectories for Determining Cross-Sectional Load Density. Transactions on Transport Sciences, vol. 10, no. 1, 2019, pp. 50-57. ISSN 1802-9876. Detail
2018
- ŠPAŇHEL Jakub, SOCHOR Jakub, JURÁNEK Roman and HEROUT Adam. 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, pp. 3524-3529. ISBN 978-1-72810-321-1. ISSN 2153-0017. Detail
- SOCHOR Jakub, ŠPAŇHEL Jakub, JURÁNEK Roman, DOBEŠ Petr and HEROUT Adam. Graph@FIT Submission to the NVIDIA AI City Challenge 2018. In: NVIDIA AI City Challenge 2018 (CVPRW). Salt Lake City: IEEE Computer Society, 2018, pp. 77-84. ISBN 978-1-5386-6100-0. Detail