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In-vehicle camera traffic sign detection and recognition

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dc.contributor.authorRuta, Andrzej
dc.contributor.authorPorikli, Fatih
dc.contributor.authorWatanabe, Shintaro
dc.contributor.authorLi, Yongmin
dc.date.accessioned2015-12-08T22:23:14Z
dc.date.issued2011
dc.date.updated2016-02-24T11:15:09Z
dc.description.abstractIn this paper, we discuss theoretical foundations and a practical realization of a real-time traffic sign detection, tracking and recognition system operating on board of a vehicle. In the proposed framework, a generic detector refinement procedure based
dc.identifier.issn0932-8092
dc.identifier.urihttp://hdl.handle.net/1885/32780
dc.publisherSpringer
dc.sourceMachine Vision and Applications
dc.subjectKeywords: AdaBoost algorithm; Detection accuracy; False positive; Feature representation; Image pairs; In-vehicle; Mean shift; Multi-class; Object detectors; On-the-fly; Practical realizations; Real time traffics; Recognition systems; Regression tracking; SimBoost; Confidence-weighted mean shift; Regression tracking; SimBoost; Traffic sign recognition
dc.titleIn-vehicle camera traffic sign detection and recognition
dc.typeJournal article
local.bibliographicCitation.issue2
local.bibliographicCitation.lastpage375
local.bibliographicCitation.startpage359
local.contributor.affiliationRuta, Andrzej, Brunel University
local.contributor.affiliationPorikli, Fatih, College of Engineering and Computer Science, ANU
local.contributor.affiliationWatanabe, Shintaro, Mitsubishi Electric Corporation
local.contributor.affiliationLi, Yongmin, Brunel University
local.contributor.authoruidPorikli, Fatih, u5405232
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor090602 - Control Systems, Robotics and Automation
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.ariespublicationu4628727xPUB95
local.identifier.citationvolume22
local.identifier.doi10.1007/s00138-009-0231-x
local.identifier.scopusID2-s2.0-79951959823
local.type.statusPublished Version

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