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Article: Camera calibration from road lane markings

TitleCamera calibration from road lane markings
Authors
KeywordsCamera calibration
Camera model
Intelligent transportation systems
Road lane markings
Three-dimensional computer vision
Visual traffic surveillance
Issue Date2003
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://www.spie.org/oe
Citation
Optical Engineering, 2003, v. 42 n. 10, p. 2967-2977 How to Cite?
AbstractThree-dimensional computer vision techniques have been actively studied for the purpose of visual traffic surveillance. To determine the 3-D environment, camera calibration is a crucial step to resolve the relationship between the 3-D world coordinates and their corresponding image coordinates. A novel camera calibration using the geometry properties of road lane markings is proposed. A set of equations that computes the camera parameters from the image coordinates of the road lane markings and lane width is derived. The camera parameters include pan angle, tilt angle, swing angle, focal length, and camera distance. Our results show that the proposed method outperforms the others in terms of accuracy and noise sensitivity. The proposed method accurately determines camera parameters using the appropriate camera model and it is insensitive to perturbation of noise on the calibration pattern.
Persistent Identifierhttp://hdl.handle.net/10722/42976
ISSN
2015 Impact Factor: 0.984
2015 SCImago Journal Rankings: 0.485
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorFung, GSKen_HK
dc.contributor.authorYung, NHCen_HK
dc.contributor.authorPang, GKHen_HK
dc.date.accessioned2007-03-23T04:35:52Z-
dc.date.available2007-03-23T04:35:52Z-
dc.date.issued2003en_HK
dc.identifier.citationOptical Engineering, 2003, v. 42 n. 10, p. 2967-2977en_HK
dc.identifier.issn0091-3286en_HK
dc.identifier.urihttp://hdl.handle.net/10722/42976-
dc.description.abstractThree-dimensional computer vision techniques have been actively studied for the purpose of visual traffic surveillance. To determine the 3-D environment, camera calibration is a crucial step to resolve the relationship between the 3-D world coordinates and their corresponding image coordinates. A novel camera calibration using the geometry properties of road lane markings is proposed. A set of equations that computes the camera parameters from the image coordinates of the road lane markings and lane width is derived. The camera parameters include pan angle, tilt angle, swing angle, focal length, and camera distance. Our results show that the proposed method outperforms the others in terms of accuracy and noise sensitivity. The proposed method accurately determines camera parameters using the appropriate camera model and it is insensitive to perturbation of noise on the calibration pattern.en_HK
dc.format.extent1062025 bytes-
dc.format.extent28160 bytes-
dc.format.extent961133 bytes-
dc.format.extent5183 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/msword-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://www.spie.org/oeen_HK
dc.relation.ispartofOptical Engineeringen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsCopyright 2003 Society of Photo-Optical Instrumentation Engineers. This paper was published in Optical Engineering, 2003, v. 42 n. 10, p. 2967-2977 and is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.en_HK
dc.subjectCamera calibrationen_HK
dc.subjectCamera modelen_HK
dc.subjectIntelligent transportation systemsen_HK
dc.subjectRoad lane markingsen_HK
dc.subjectThree-dimensional computer visionen_HK
dc.subjectVisual traffic surveillanceen_HK
dc.titleCamera calibration from road lane markingsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0091-3286&volume=42&issue=10&spage=2967&epage=2977&date=2003&atitle=Camera+calibration+from+road+lane+markingsen_HK
dc.identifier.emailYung, NHC:nyung@eee.hku.hken_HK
dc.identifier.emailPang, GKH:gpang@eee.hku.hken_HK
dc.identifier.authorityYung, NHC=rp00226en_HK
dc.identifier.authorityPang, GKH=rp00162en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1117/1.1606458en_HK
dc.identifier.scopuseid_2-s2.0-0344084408en_HK
dc.identifier.hkuros91626-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0344084408&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume42en_HK
dc.identifier.issue10en_HK
dc.identifier.spage2967en_HK
dc.identifier.epage2977en_HK
dc.identifier.isiWOS:000185982400033-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridFung, GSK=7004213392en_HK
dc.identifier.scopusauthoridYung, NHC=7003473369en_HK
dc.identifier.scopusauthoridPang, GKH=7103393283en_HK

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