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Proceedings Paper

Automatic multi-camera calibration for deployable positioning systems
Author(s): Maria Axelsson; Mikael Karlsson; Staffan Rudner
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Paper Abstract

Surveillance with automated positioning and tracking of subjects and vehicles in 3D is desired in many defence and security applications. Camera systems with stereo or multiple cameras are often used for 3D positioning. In such systems, accurate camera calibration is needed to obtain a reliable 3D position estimate. There is also a need for automated camera calibration to facilitate fast deployment of semi-mobile multi-camera 3D positioning systems. In this paper we investigate a method for automatic calibration of the extrinsic camera parameters (relative camera pose and orientation) of a multi-camera positioning system. It is based on estimation of the essential matrix between each camera pair using the 5-point method for intrinsically calibrated cameras. The method is compared to a manual calibration method using real HD video data from a field trial with a multicamera positioning system. The method is also evaluated on simulated data from a stereo camera model. The results show that the reprojection error of the automated camera calibration method is close to or smaller than the error for the manual calibration method and that the automated calibration method can replace the manual calibration.

Paper Details

Date Published: 17 May 2012
PDF: 6 pages
Proc. SPIE 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 83921B (17 May 2012); doi: 10.1117/12.918249
Show Author Affiliations
Maria Axelsson, Swedish Defence Research Agency (Sweden)
Mikael Karlsson, Swedish Defence Research Agency (Sweden)
Staffan Rudner, Swedish Defence Research Agency (Sweden)

Published in SPIE Proceedings Vol. 8392:
Signal Processing, Sensor Fusion, and Target Recognition XXI
Ivan Kadar, Editor(s)

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