Detail publikačního výsledku

Fully Automatic Roadside Camera Calibration for Traffic Surveillance

JURÁNKOVÁ, M.; HEROUT, A.; JURÁNEK, R.; SOCHOR, J.

Originální název

Fully Automatic Roadside Camera Calibration for Traffic Surveillance

Anglický název

Fully Automatic Roadside Camera Calibration for Traffic Surveillance

Druh

Článek WoS

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

Hough Transform, Camera Calibration, Diamond Space, Roadside Data

Klíčová slova v angličtině

Hough Transform, Camera Calibration, Diamond Space, Roadside Data

Autoři

JURÁNKOVÁ, M.; HEROUT, A.; JURÁNEK, R.; SOCHOR, J.

Rok RIV

2015

Vydáno

09.06.2014

ISSN

1524-9050

Periodikum

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Svazek

2014

Číslo

1

Stát

Spojené státy americké

Strany od

1

Strany do

10

Strany počet

10

Plný text v Digitální knihovně

http://hdl.handle.net/

BibTex

@article{BUT111600,
  author="Markéta {Juránková} and Adam {Herout} and Roman {Juránek} and Jakub {Sochor}",
  title="Fully Automatic Roadside Camera Calibration for Traffic Surveillance",
  journal="IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS",
  year="2014",
  volume="2014",
  number="1",
  pages="1--10",
  doi="10.1109/TITS.2014.2352854",
  issn="1524-9050"
}