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A new Concentric Circles Detection method for Object Detection applied to Radar Images

Published online by Cambridge University Press:  27 February 2019

José Miguel Guerrero Open the ORCID record for José Miguel Guerrero [Opens in a new window] ,
Andreas Muñoz ,
Matilde Santos  and
Gonzalo Pajares
José Miguel Guerrero*
Affiliation:
(Complutense University of Madrid, Computer Science Faculty, Spain)
Andreas Muñoz
Affiliation:
(CIRCE Foundation (Research Centre for Energy Resources and Consumption))
Matilde Santos
Affiliation:
(Complutense University of Madrid, Computer Science Faculty, Spain)
Gonzalo Pajares
Affiliation:
(Complutense University of Madrid, Computer Science Faculty, Spain)
*
(E-mail: jmguerre@ucm.es)
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Abstract

In this work, a new concentric circles detection method for object detection is proposed. It has been applied to the images of a commercial radar, captured with a Charge-Coupled Device (CCD) camera. The processing includes the detection of centres and concentric circles in the images and the identification of the radar scale. Several methods found in the literature have been applied and compared with our novel proposal for multiple concentric circles detection, called “Propagation Method based on Circular Regression”. This methodology has been validated with real radar images, proving its efficiency in obtaining the distance of any object to a marine vessel, with high accuracy and low computational cost, in real time. This system can not only be applied to most existing radars in the market by adjusting the parameters of each model but our proposal for concentric circle detection can be also applied to other sensing applications.

Keywords

Obstacle detectionRadarImage processingCircles detectionReal-time alarm system
Type
Research Article
Information
The Journal of Navigation , Volume 72 , Issue 4 , July 2019 , pp. 1070 - 1088
Copyright
Copyright © The Royal Institute of Navigation 2019 

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References

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