Detail publikace

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

FOLENTA, J. ŠPAŇHEL, J. BARTL, V. HEROUT, A.

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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).

Klíčová slova

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

Autoři

FOLENTA, J.; ŠPAŇHEL, J.; BARTL, V.; HEROUT, A.

Vydáno

18. 5. 2020

Nakladatel

IEEE Computer Society

Místo

Seattle, WA

ISBN

978-1-7281-9360-1

Kniha

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

Edice

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

ISSN

2160-7516

Ročník

2020

Číslo

07

Strany od

2544

Strany do

2549

Strany počet

6

URL

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

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"
}

Dokumenty

09150881.pdf