Publication result detail

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

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

Original Title

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

English Title

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

Type

Paper in proceedings (conference paper)

Original 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).

English 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

Key words in English

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

Authors

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

RIV year

2021

Released

18.05.2020

Publisher

IEEE Computer Society

Location

Seattle, WA

ISBN

978-1-7281-9360-1

Book

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

Edition

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

ISBN

2160-7516

Periodical

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volume

2020

Number

07

State

United States of America

Pages from

2544

Pages to

2549

Pages count

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",
  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"
}

Documents

09150881