Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lim, Young-Chul | - |
dc.contributor.author | Kang, Minsung | - |
dc.date.available | 2017-07-11T07:50:14Z | - |
dc.date.created | 2017-06-25 | - |
dc.date.issued | 2014 | - |
dc.identifier.isbn | 9789897580406 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/3795 | - |
dc.description.abstract | In order to detect vehicles on the road reliably, a vehicle detector and tracker should be integrated to work in unison. In real applications, some of the ROIs generated from a vehicle detector are often ill-fitting due to imperfect detector outputs. The ill-fitting ROIs make it difficult for tracker to estimate a target vehicle correctly due to outliers. In this paper, we propose a stereo-based visual tracking method using a 3D feature clustering scheme to overcome this problem. Our method selects reliable features using feature matching and a 3D feature clustering method and estimates an accurate transform model using a modified RANSAC algorithm. Our experimental results demonstrate that the proposed method offers better performance compared with previous feature-based tracking methods. | - |
dc.publisher | SciTePress | - |
dc.relation.ispartof | ICINCO 2014 - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics | - |
dc.title | Stereo vision-based visual tracking using 3D feature clustering for robust vehicle tracking | - |
dc.type | Conference Paper | - |
dc.identifier.scopusid | 2-s2.0-84910047173 | - |
dc.identifier.bibliographicCitation | 11th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2014, v.2, pp.788 - 793 | - |
dc.citation.conferenceDate | 2014-09-01 | - |
dc.citation.conferencePlace | PO | - |
dc.citation.endPage | 793 | - |
dc.citation.startPage | 788 | - |
dc.citation.title | 11th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2014 | - |
dc.citation.volume | 2 | - |
dc.type.docType | Conference Paper | - |
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