Publication detail

Automatic Camera Calibration for Traffic Understanding

JURÁNKOVÁ, M. SOCHOR, J. HEROUT, A.

Original Title

Automatic Camera Calibration for Traffic Understanding

English Title

Automatic Camera Calibration for Traffic Understanding

Type

conference paper

Language

en

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.

English 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

RIV year

2014

Released

08.07.2014

Publisher

The British Machine Vision Association and Society for Pattern Recognition

Location

Nottingham

ISBN

1-901725-52-9

Book

Proceedings of BMVC 2014

Edition

NEUVEDEN

Edition number

NEUVEDEN

Pages from

1

Pages to

10

Pages count

9

URL

Documents

BibTex


@inproceedings{BUT111627,
  author="Markéta {Juránková} and Jakub {Sochor} and Adam {Herout}",
  title="Automatic Camera Calibration for Traffic Understanding",
  annote="
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.",
  address="The British Machine Vision Association and Society for Pattern Recognition",
  booktitle="Proceedings of BMVC 2014",
  chapter="111627",
  edition="NEUVEDEN",
  howpublished="online",
  institution="The British Machine Vision Association and Society for Pattern Recognition",
  year="2014",
  month="july",
  pages="1--10",
  publisher="The British Machine Vision Association and Society for Pattern Recognition",
  type="conference paper"
}