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)

English title

SMARTCarPark - Surveillance Monitoring, Analysis and Re-identification of Traffic for Enhanced Car Parking

Type

grant

Keywords

Traffic Analysis; Visual Surveillance; Computer Vision; Law Enforcement; Intelligent Transportation Systems; Metropolitan Congestion; Smart Cities; Public Parking

Abstract

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.

Team members

Herout Adam, prof. Ing., Ph.D. (DCGM) – research leader
Bartl Vojtěch, Ing., Ph.D. (DCGM)
Juránek Roman, Ing., Ph.D. (DCGM)
Očenášek Matěj, Ing.
Sochor Jakub, Ing., Ph.D.
Sonth Akash Prakash
Špaňhel Jakub, Ing., Ph.D. (DCGM)

Publications

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
FOLENTA, J.; ŠPAŇHEL, J.; BARTL, V.; HEROUT, A. 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. Seattle, WA: IEEE Computer Society, 2020. p. 2544-2549. ISBN: 978-1-7281-9360-1. ISSN: 2160-7516. Detail
ŠPAŇHEL, J.; SOCHOR, J.; JURÁNEK, R.; DOBEŠ, P.; BARTL, V.; HEROUT, A. Learning Feature Aggregation in Temporal Domain for Re-Identification. COMPUTER VISION AND IMAGE UNDERSTANDING, 2020, vol. 192, no. 11, p. 1-12. ISSN: 1077-3142. Detail

2019

BARTL, V.; HEROUT, A. 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. p. 1-8. ISBN: 978-1-7281-0990-9. Detail
JURÁNEK, R.; ŠPAŇHEL, J.; SOCHOR, J.; HEROUT, A.; NOVÁK, J. Visual Analysis of Vehicle Trajectories for Determining Cross-Sectional Load Density. Transactions on Transport Sciences - online version, 2019, vol. 10, no. 1, p. 50-57. ISSN: 1802-9876. Detail
ŠPAŇHEL, J.; BARTL, V.; JURÁNEK, R.; HEROUT, A. 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. Long Beach: IEEE Computer Society, 2019. p. 150-158. ISSN: 2160-7516. 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