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Calibration of an Outdoor Distributed Camera Network with a 3D Point Cloud

Outdoor camera networks are becoming ubiquitous in critical urban areas of the largest cities around the world. Although current applications of camera networks are mostly tailored to video surveillance, recent research projects are exploiting their use to aid robotic systems in people-assisting tas...

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Detalles Bibliográficos
Autores principales: Ortega, Agustín, Silva, Manuel, Teniente, Ernesto H., Ferreira, Ricardo, Bernardino, Alexandre, Gaspar, José, Andrade-Cetto, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179065/
https://www.ncbi.nlm.nih.gov/pubmed/25076221
http://dx.doi.org/10.3390/s140813708
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author Ortega, Agustín
Silva, Manuel
Teniente, Ernesto H.
Ferreira, Ricardo
Bernardino, Alexandre
Gaspar, José
Andrade-Cetto, Juan
author_facet Ortega, Agustín
Silva, Manuel
Teniente, Ernesto H.
Ferreira, Ricardo
Bernardino, Alexandre
Gaspar, José
Andrade-Cetto, Juan
author_sort Ortega, Agustín
collection PubMed
description Outdoor camera networks are becoming ubiquitous in critical urban areas of the largest cities around the world. Although current applications of camera networks are mostly tailored to video surveillance, recent research projects are exploiting their use to aid robotic systems in people-assisting tasks. Such systems require precise calibration of the internal and external parameters of the distributed camera network. Despite the fact that camera calibration has been an extensively studied topic, the development of practical methods for user-assisted calibration that minimize user intervention time and maximize precision still pose significant challenges. These camera systems have non-overlapping fields of view, are subject to environmental stress, and are likely to suffer frequent recalibration. In this paper, we propose the use of a 3D map covering the area to support the calibration process and develop an automated method that allows quick and precise calibration of a large camera network. We present two cases of study of the proposed calibration method: one is the calibration of the Barcelona Robot Lab camera network, which also includes direct mappings (homographies) between image coordinates and world points in the ground plane (walking areas) to support person and robot detection and localization algorithms. The second case consist of improving the GPS positioning of geo-tagged images taken with a mobile device in the Facultat de Matemàtiques i Estadística (FME) patio at the Universitat Politècnica de Catalunya (UPC).
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spelling pubmed-41790652014-10-02 Calibration of an Outdoor Distributed Camera Network with a 3D Point Cloud Ortega, Agustín Silva, Manuel Teniente, Ernesto H. Ferreira, Ricardo Bernardino, Alexandre Gaspar, José Andrade-Cetto, Juan Sensors (Basel) Article Outdoor camera networks are becoming ubiquitous in critical urban areas of the largest cities around the world. Although current applications of camera networks are mostly tailored to video surveillance, recent research projects are exploiting their use to aid robotic systems in people-assisting tasks. Such systems require precise calibration of the internal and external parameters of the distributed camera network. Despite the fact that camera calibration has been an extensively studied topic, the development of practical methods for user-assisted calibration that minimize user intervention time and maximize precision still pose significant challenges. These camera systems have non-overlapping fields of view, are subject to environmental stress, and are likely to suffer frequent recalibration. In this paper, we propose the use of a 3D map covering the area to support the calibration process and develop an automated method that allows quick and precise calibration of a large camera network. We present two cases of study of the proposed calibration method: one is the calibration of the Barcelona Robot Lab camera network, which also includes direct mappings (homographies) between image coordinates and world points in the ground plane (walking areas) to support person and robot detection and localization algorithms. The second case consist of improving the GPS positioning of geo-tagged images taken with a mobile device in the Facultat de Matemàtiques i Estadística (FME) patio at the Universitat Politècnica de Catalunya (UPC). MDPI 2014-07-29 /pmc/articles/PMC4179065/ /pubmed/25076221 http://dx.doi.org/10.3390/s140813708 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Ortega, Agustín
Silva, Manuel
Teniente, Ernesto H.
Ferreira, Ricardo
Bernardino, Alexandre
Gaspar, José
Andrade-Cetto, Juan
Calibration of an Outdoor Distributed Camera Network with a 3D Point Cloud
title Calibration of an Outdoor Distributed Camera Network with a 3D Point Cloud
title_full Calibration of an Outdoor Distributed Camera Network with a 3D Point Cloud
title_fullStr Calibration of an Outdoor Distributed Camera Network with a 3D Point Cloud
title_full_unstemmed Calibration of an Outdoor Distributed Camera Network with a 3D Point Cloud
title_short Calibration of an Outdoor Distributed Camera Network with a 3D Point Cloud
title_sort calibration of an outdoor distributed camera network with a 3d point cloud
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179065/
https://www.ncbi.nlm.nih.gov/pubmed/25076221
http://dx.doi.org/10.3390/s140813708
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