Journal article

DUBSKÁ Markéta, HEROUT Adam, JURÁNEK Roman and SOCHOR Jakub. Fully Automatic Roadside Camera Calibration for Traffic Surveillance. IEEE Transactions on Intelligent Transportation Systems. 2014, vol. 2014, no. 1, pp. 1-10. ISSN 1524-9050.
Publication language:english
Original title:Fully Automatic Roadside Camera Calibration for Traffic Surveillance
Title (cs):Automatická kalibrace kamery ze silničných dat
Journal:IEEE Transactions on Intelligent Transportation Systems, Vol. 2014, No. 1, US
Hough Transform, Camera Calibration, Diamond Space, Roadside Data
This paper deals with automatic calibration of roadside surveillance cameras. We focus on parameters necessary for measurements in traffic surveillance applications. Contrary to the existing solutions, our approach requires no a priori knowledge and it works with a very wide variety of road settings (number of lanes, occlusion, quality of ground marking), and with practically unlimited viewing angles. The main contribution is that our solution works fully automatically - without any per-camera or per-video manual settings or input whatsoever - and it is computationally cheap. 
Our approach uses tracking of local feature points and analyzes the trajectories in a manner based on Cascaded Hough Transform and parallel coordinates.  An important assumption for the vehicle movement is that at least a part of the vehicle motion is approximately straight -- we discuss the impact of this assumption on the applicability of our approach and show experimentally, that this assumption does not limit the usability of our approach severely.
   author = {Mark{\'{e}}ta Dubsk{\'{a}} and Adam Herout and Roman
	Jur{\'{a}}nek and Jakub Sochor},
   title = {Fully Automatic Roadside Camera Calibration for Traffic
   pages = {1--10},
   journal = {IEEE Transactions on Intelligent Transportation Systems},
   volume = {2014},
   number = {1},
   year = {2014},
   ISSN = {1524-9050},
   language = {english},
   url = {}

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