Result Details

Determining Vehicle Turn Counts at Multiple Intersections by Separated Vehicle Classes Using CNNs

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. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. Seattle, WA: IEEE Computer Society, 2020. no. 07, p. 2544-2549. ISBN: 978-1-7281-9360-1. ISSN: 2160-7516.

Type

conference paper

Language

English

Authors

Folenta Ján, Ing.
Špaňhel Jakub, Ing., Ph.D., DCGM (FIT)
Bartl Vojtěch, Ing., Ph.D., DCGM (FIT)
Herout Adam, prof. Ing., Ph.D., DCGM (FIT)

Abstract

In our submission to the NVIDIA AI City Challenge2020, we address the problem of counting vehicles by theirclass at multiple intersections. Our solution is based oncounting by tracking principle using convolutional neuralnetworks in detection and tracking steps of the proposedmethod. We have achieved 6th place on the dataset partA of Track 1 with score S1 Total = 0.8829, (mwRMSE =4.3616, S1 Effectiveness = 0.9094, S1 Efficiency = 0.8212).

Keywords

vehicle counting, vehilce class, intersections, detection, tracking, convolutional neural networks

URL

https://ieeexplore.ieee.org/document/9150881

Published

2020

Pages

2544–2549

Journal

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 2020, no. 07, ISSN 2160-7516

Proceedings

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Series

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Conference

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops 2020

ISBN

978-1-7281-9360-1

Publisher

IEEE Computer Society

Place

Seattle, WA

DOI

10.1109/CVPRW50498.2020.00306

UT WoS

000788279002066

EID Scopus

2-s2.0-85090160732

BibTeX

@inproceedings{BUT168129,
  author="Ján {Folenta} and Jakub {Špaňhel} and Vojtěch {Bartl} and Adam {Herout}",
  title="Determining Vehicle Turn Counts at Multiple Intersections by Separated Vehicle Classes Using CNNs",
  booktitle="2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
  year="2020",
  series="IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops",
  journal="IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops",
  volume="2020",
  number="07",
  pages="2544--2549",
  publisher="IEEE Computer Society",
  address="Seattle, WA",
  doi="10.1109/CVPRW50498.2020.00306",
  isbn="978-1-7281-9360-1",
  issn="2160-7508",
  url="https://ieeexplore.ieee.org/document/9150881"
}

Files

pdf 09150881.pdf 4 MB

Projects

IT4Innovations excellence in science, MŠMT, Národní program udržitelnosti II, LQ1602, start: 2016-01-01, end: 2020-12-31, completed
Moderní metody zpracování, analýzy a zobrazování multimediálních a 3D dat, BUT, Vnitřní projekty VUT, FIT-S-20-6460, start: 2020-03-01, end: 2023-02-28, completed
SMARTCarPark - Surveillance Monitoring, Analysis and Re-identification of Traffic for Enhanced Car Parking, TAČR, Program na podporu aplikovaného výzkumu a experimentálního vývoje EPSILON (2015-2025), TH03010529, start: 2018-01-01, end: 2020-12-31, completed

Research groups

Computer Graphics Research Group (RG GRAPH)

Departments

Department of Computer Graphics and Multimedia (DCGM)