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Large scale sign detection using HOG feature variants

dc.contributor.authorOverett, Gary
dc.contributor.authorPetersson, Lars
dc.coverage.spatialBaden-Baden Germany
dc.date.accessioned2015-12-10T23:13:54Z
dc.date.createdJune 5-9 2011
dc.identifier.urihttp://hdl.handle.net/1885/64636
dc.publisherIEEE Intelligent Transportation Systems Society
dc.relation.ispartofseriesIEEE Intelligent Vehicles Symposium 2011
dc.sourceLarge Scale Sign Detection using HOG Feature Variants
dc.titleLarge scale sign detection using HOG feature variants
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2011
local.identifier.absfor080104 - Computer Vision
local.identifier.ariespublicationu4334215xPUB972
local.type.statusPublished Version
local.contributor.affiliationOverett, Gary, NICTA
local.contributor.affiliationPetersson, Lars, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage326
local.bibliographicCitation.lastpage331
local.identifier.absseo880109 - Road Safety
local.identifier.absseo970109 - Expanding Knowledge in Engineering
dc.date.updated2015-12-10T09:43:18Z
CollectionsANU Research Publications

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