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Article: Camera calibration from road lane markings
Title | Camera calibration from road lane markings |
---|---|
Authors | |
Keywords | Camera calibration Camera model Intelligent transportation systems Road lane markings Three-dimensional computer vision Visual traffic surveillance |
Issue Date | 2003 |
Publisher | S 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? |
Abstract | Three-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 Identifier | http://hdl.handle.net/10722/42976 |
ISSN | 2023 Impact Factor: 1.1 2023 SCImago Journal Rankings: 0.331 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Fung, GSK | en_HK |
dc.contributor.author | Yung, NHC | en_HK |
dc.contributor.author | Pang, GKH | en_HK |
dc.date.accessioned | 2007-03-23T04:35:52Z | - |
dc.date.available | 2007-03-23T04:35:52Z | - |
dc.date.issued | 2003 | en_HK |
dc.identifier.citation | Optical Engineering, 2003, v. 42 n. 10, p. 2967-2977 | en_HK |
dc.identifier.issn | 0091-3286 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/42976 | - |
dc.description.abstract | Three-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.extent | 1062025 bytes | - |
dc.format.extent | 28160 bytes | - |
dc.format.extent | 961133 bytes | - |
dc.format.extent | 5183 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | application/msword | - |
dc.format.mimetype | application/pdf | - |
dc.format.mimetype | text/plain | - |
dc.language | eng | en_HK |
dc.publisher | S P I E - International Society for Optical Engineering. The Journal's web site is located at http://www.spie.org/oe | en_HK |
dc.relation.ispartof | Optical Engineering | en_HK |
dc.rights | Copyright 2003 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited. This article is available online at https://doi.org/10.1117/1.1606458 | - |
dc.subject | Camera calibration | en_HK |
dc.subject | Camera model | en_HK |
dc.subject | Intelligent transportation systems | en_HK |
dc.subject | Road lane markings | en_HK |
dc.subject | Three-dimensional computer vision | en_HK |
dc.subject | Visual traffic surveillance | en_HK |
dc.title | Camera calibration from road lane markings | en_HK |
dc.type | Article | en_HK |
dc.identifier.openurl | http://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+markings | en_HK |
dc.identifier.email | Yung, NHC:nyung@eee.hku.hk | en_HK |
dc.identifier.email | Pang, GKH:gpang@eee.hku.hk | en_HK |
dc.identifier.authority | Yung, NHC=rp00226 | en_HK |
dc.identifier.authority | Pang, GKH=rp00162 | en_HK |
dc.description.nature | published_or_final_version | en_HK |
dc.identifier.doi | 10.1117/1.1606458 | en_HK |
dc.identifier.scopus | eid_2-s2.0-0344084408 | en_HK |
dc.identifier.hkuros | 91626 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-0344084408&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.volume | 42 | en_HK |
dc.identifier.issue | 10 | en_HK |
dc.identifier.spage | 2967 | en_HK |
dc.identifier.epage | 2977 | en_HK |
dc.identifier.isi | WOS:000185982400033 | - |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | Fung, GSK=7004213392 | en_HK |
dc.identifier.scopusauthorid | Yung, NHC=7003473369 | en_HK |
dc.identifier.scopusauthorid | Pang, GKH=7103393283 | en_HK |
dc.identifier.issnl | 0091-3286 | - |