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Evaluation of Camera Calibration Approaches for Video Image Detection Systems

Bauer, Sascha and Luber, Andreas and Reulke, Ralf (2008) Evaluation of Camera Calibration Approaches for Video Image Detection Systems. In: The XXI Congress - The International Society for Photogrammetry and Remote Sensing, XXXVII (B1), pp. 5-11. The XXI Congress - The International Society for Photogrammetry and Remote Sensing, [2008-07-03 - 2007-07-11], Beijing.

Full text not available from this repository.

Abstract

In modern traffic management Video Image Detection Systems (VIDS) are becoming increasingly important as traffic sensors. They are getting more affordable and don’t require any road construction like commonly used induction loops. Furthermore, due to the fact that they are able to monitor a wide area, they potentially offer the derivation of a whole new set of traffic parameters. Good examples are the derivation of source-destination relations, queue-length, travel-times or general event detection like untypical movements, accidents, blockages and congestions. Additionally, by using more than one camera the surveillance area can be enlarged or the detection accuracy can be increased due to redundancy of observations. However, in order to take advantage of a multiple camera system, the observations from different cameras have to be fused. In the setup that will be presented a geometric fusion is proposed by projecting the observations into a combined geo-referenced coordinate frame. The basic requirement for this transformation is the knowledge of the interior and exterior orientation of every camera. Three different approaches for determining the exterior orientation have been implemented, namely a Newton method, a least squares adjustment based on ground control points and a method based on line features. Furthermore, direct linear transformation and minimum space resection are applied to calculate initial estimates. These algorithms are subject to an in depth evaluation in respect to their application as a traffic monitoring sensor.

Item URL in elib:https://elib.dlr.de/54742/
Document Type:Conference or Workshop Item (Paper)
Title:Evaluation of Camera Calibration Approaches for Video Image Detection Systems
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Bauer, SaschaUNSPECIFIEDUNSPECIFIED
Luber, AndreasUNSPECIFIEDUNSPECIFIED
Reulke, RalfHU-BerlinUNSPECIFIED
Date:July 2008
Journal or Publication Title:The XXI Congress - The International Society for Photogrammetry and Remote Sensing
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:XXXVII
Page Range:pp. 5-11
Editors:
EditorsEmail
ISPRS, UNSPECIFIED
Series Name:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Status:Published
Keywords:Calibration, Multisensor, Fusion, Orientation, Camera, Georeferencing
Event Title:The XXI Congress - The International Society for Photogrammetry and Remote Sensing
Event Location:Beijing
Event Type:international Conference
Event Dates:[2008-07-03 - 2007-07-11]
Organizer:The International Society for Photogrammetry and Remote Sensing
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Mittel- und langfristige Entwicklung der Personenverkehrsnachfrage (old)
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Traffic Management
Deposited By: Reulke, Prof. Dr. Ralf
Deposited On:11 Aug 2008
Last Modified:27 Apr 2009 15:05

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