Conference paper

DUBSKÁ Markéta, SOCHOR Jakub and HEROUT Adam. Automatic Camera Calibration for Traffic Understanding. In: Proceedings of BMVC 2014. Nottingham: The British Machine Vision Association and Society for Pattern Recognition, 2014, pp. 1-10. ISBN 1-901725-49-9.
Publication language:english
Original title:Automatic Camera Calibration for Traffic Understanding
Title (cs):Automatická kalibrace kamery pro zpracování silničních dat
Proceedings:Proceedings of BMVC 2014
Conference:British Machine Vision Conference (BMVC) 2014
Place:Nottingham, GB
Publisher:The British Machine Vision Association and Society for Pattern Recognition
camera calibration, speed measurement, vanishing point detection, surveillance camera, traffic analysis
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.
   author = {Mark{\'{e}}ta Dubsk{\'{a}} and Jakub Sochor and Adam Herout},
   title = {Automatic Camera Calibration for Traffic Understanding},
   pages = {1--10},
   booktitle = {Proceedings of BMVC 2014},
   year = {2014},
   location = {Nottingham, GB},
   publisher = {The British Machine Vision Association and Society for
	Pattern Recognition},
   ISBN = {1-901725-49-9},
   language = {english},
   url = {}

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