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Proceedings Paper

Calibration of asynchronous smart phone cameras from moving objects
Author(s): Oksana Hagen; Klemen Istenič; Vibhav Bharti; Maruf Ahmed Dhali; Daniel Barmaimon; Jérémie Houssineau; Daniel Clark
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Paper Abstract

Calibrating multiple cameras is a fundamental prerequisite for many Computer Vision applications. Typically this involves using a pair of identical synchronized industrial or high-end consumer cameras. This paper considers an application on a pair of low-cost portable cameras with different parameters that are found in smart phones. This paper addresses the issues of acquisition, detection of moving objects, dynamic camera registration and tracking of arbitrary number of targets. The acquisition of data is performed using two standard smart phone cameras and later processed using detections of moving objects in the scene. The registration of cameras onto the same world reference frame is performed using a recently developed method for camera calibration using a disparity space parameterisation and the single-cluster PHD filter.

Paper Details

Date Published: 30 April 2015
PDF: 7 pages
Proc. SPIE 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015, 953419 (30 April 2015); doi: 10.1117/12.2182946
Show Author Affiliations
Oksana Hagen, Heriot-Watt Univ. (United Kingdom)
Klemen Istenič, Heriot-Watt Univ. (United Kingdom)
Vibhav Bharti, Heriot-Watt Univ. (United Kingdom)
Maruf Ahmed Dhali, Heriot-Watt Univ. (United Kingdom)
Daniel Barmaimon, Heriot-Watt Univ. (United Kingdom)
Jérémie Houssineau, Heriot-Watt Univ. (United Kingdom)
Daniel Clark, Heriot-Watt Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 9534:
Twelfth International Conference on Quality Control by Artificial Vision 2015
Fabrice Meriaudeau; Olivier Aubreton, Editor(s)

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