Publication 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

Type

conference paper

Language

English

Original 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).

Keywords

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

Authors

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

Released

18. 5. 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

Year of study

2020

Number

07

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",
  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"
}

Documents

09150881.pdf