Publication detail

Automatic Camera Calibration for Traffic Understanding

JURÁNKOVÁ, M. SOCHOR, J. HEROUT, A.

Original Title

Automatic Camera Calibration for Traffic Understanding

Type

conference paper

Language

English

Original Abstract

We propose a method for fully automatic calibration of traffic surveillance cameras. This method allows for calibration of the camera - including scale - without any user input, only from several minutes of input surveillance video. The targeted applications include speed measurement, measurement of vehicle dimensions, vehicle classification, etc.  The achieved mean accuracy of speed and distance measurement is below 2%. Our efficient C++ implementation runs in real time on a lowend processor (Core i3) with a safe margin even for full-HD videos.

Keywords

camera calibration, speed measurement, vanishing point detection, surveillance camera, traffic analysis

Authors

JURÁNKOVÁ, M.; SOCHOR, J.; HEROUT, A.

RIV year

2014

Released

8. 7. 2014

Publisher

The British Machine Vision Association and Society for Pattern Recognition

Location

Nottingham

ISBN

1-901725-52-9

Book

Proceedings of BMVC 2014

Pages from

1

Pages to

10

Pages count

9

URL

http://www.fit.vutbr.cz/~herout/papers/2014-BMVC-VehicleBoxes.pdf

BibTex

@inproceedings{BUT111627,
  author="Markéta {Juránková} and Jakub {Sochor} and Adam {Herout}",
  title="Automatic Camera Calibration for Traffic Understanding",
  booktitle="Proceedings of BMVC 2014",
  year="2014",
  pages="1--10",
  publisher="The British Machine Vision Association and Society for Pattern Recognition",
  address="Nottingham",
  isbn="1-901725-52-9",
  url="http://www.fit.vutbr.cz/~herout/papers/2014-BMVC-VehicleBoxes.pdf"
}