Detail publikace

Automatic Camera Calibration for Traffic Understanding

JURÁNKOVÁ, M. SOCHOR, J. HEROUT, A.

Originální název

Automatic Camera Calibration for Traffic Understanding

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

JURÁNKOVÁ, M.; SOCHOR, J.; HEROUT, A.

Rok RIV

2014

Vydáno

8. 7. 2014

Nakladatel

The British Machine Vision Association and Society for Pattern Recognition

Místo

Nottingham

ISBN

1-901725-52-9

Kniha

Proceedings of BMVC 2014

Strany od

1

Strany do

10

Strany počet

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"
}