Publication 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. Seattle, WA: IEEE Computer Society, 2020. p. 2544-2549. ISBN: 978-1-7281-9360-1. ISSN: 2160-7516.
Czech title
Určování počtu průjezdu vozidel křižovatkou dle tříd s použitím konvolučních neuronových sítí
Type
conference paper
Language
English
Authors
Folenta Ján, Ing.
Špaňhel Jakub, Ing., Ph.D. (DCGM)
Bartl Vojtěch, Ing., Ph.D. (DCGM)
Herout Adam, prof. Ing., Ph.D. (DCGM)
URL
Keywords

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

Abstract

In our submission to the NVIDIA AI City Challenge 2020, we address the problem of
counting vehicles by their class at multiple intersections. Our solution is based
on counting by tracking principle using convolutional neural networks in
detection and tracking steps of the proposed method. We have achieved 6th place
on the dataset part A of Track 1 with score S1 Total = 0.8829, (mwRMSE = 4.3616,
S1 Effectiveness = 0.9094, S1 Efficiency = 0.8212).

Published
2020
Pages
2544–2549
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
Volume
2020
Number
07
Conference
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops 2020, Seattle, Washington, US
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",
  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="2160-7516",
  url="https://ieeexplore.ieee.org/document/9150881"
}
Files
Back to top