New single camera vehicle detection based on gabor features for real time operation
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Baig, Mirza waqar | - |
dc.contributor.author | Pirzada, Syed Jahanzeb Hussain | - |
dc.contributor.author | Haq, Ehsan ul | - |
dc.contributor.author | Shin, Hyunchul | - |
dc.date.accessioned | 2021-06-23T12:03:34Z | - |
dc.date.available | 2021-06-23T12:03:34Z | - |
dc.date.issued | 2011-00 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/39086 | - |
dc.description.abstract | This paper presents a new novel approach for automatic vehicle detection from a live video based on texture Gabor features. Vehicle detection is a pivotal part in collision avoidance systems, blind-spot monitoring, and self-guided vehicles. This system uses a low cost camera mounted near the rear-view mirror to obtain the live video. The Gabor filter features have been used to identify the potential vehicles in the frames by using the support vector machine. The initial detection of potential vehicle candidates has been improved by using correlation techniques. A robust detection technique is developed in which the vehicles are detected with accuracy up to 9 % in day light image sequences. © 2011 Springer-Verlag. | - |
dc.format.extent | 8 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Springer | - |
dc.title | New single camera vehicle detection based on gabor features for real time operation | - |
dc.type | Article | - |
dc.publisher.location | 독일 | - |
dc.identifier.doi | 10.1007/978-3-642-24082-9_69 | - |
dc.identifier.scopusid | 2-s2.0-80054074269 | - |
dc.identifier.bibliographicCitation | Convergence and Hybrid Information Technology 5th International Conference, ICHIT 2011, Daejeon, Korea, September 22-24, 2011, Proceedings, pp 567 - 574 | - |
dc.citation.title | Convergence and Hybrid Information Technology 5th International Conference, ICHIT 2011, Daejeon, Korea, September 22-24, 2011, Proceedings | - |
dc.citation.startPage | 567 | - |
dc.citation.endPage | 574 | - |
dc.type.docType | Conference Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Collision avoidance systems | - |
dc.subject.keywordPlus | Correlation techniques | - |
dc.subject.keywordPlus | Driver assistance system | - |
dc.subject.keywordPlus | Gabor feature | - |
dc.subject.keywordPlus | Gabor filter feature | - |
dc.subject.keywordPlus | Image sequence | - |
dc.subject.keywordPlus | Live video | - |
dc.subject.keywordPlus | Low costs | - |
dc.subject.keywordPlus | Real-time operation | - |
dc.subject.keywordPlus | Rear-view mirrors | - |
dc.subject.keywordPlus | Robust detection | - |
dc.subject.keywordPlus | Self-guided vehicles | - |
dc.subject.keywordPlus | Single cameras | - |
dc.subject.keywordPlus | Support vector | - |
dc.subject.keywordPlus | System use | - |
dc.subject.keywordPlus | Vehicle Detection | - |
dc.subject.keywordPlus | Automobile drivers | - |
dc.subject.keywordPlus | Cameras | - |
dc.subject.keywordPlus | Information technology | - |
dc.subject.keywordPlus | Stereo vision | - |
dc.subject.keywordPlus | Support vector machines | - |
dc.subject.keywordPlus | Vehicles | - |
dc.subject.keywordAuthor | Driver assistance systems | - |
dc.subject.keywordAuthor | Gabor features | - |
dc.subject.keywordAuthor | Support Vector Machines | - |
dc.subject.keywordAuthor | Vehicle Detection | - |
dc.identifier.url | https://link.springer.com/chapter/10.1007/978-3-642-24082-9_69 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
55 Hanyangdeahak-ro, Sangnok-gu, Ansan, Gyeonggi-do, 15588, Korea+82-31-400-4269 sweetbrain@hanyang.ac.kr
COPYRIGHT © 2021 HANYANG UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.