Large scale sign detection using HOG feature variants

Simple item page
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.date.issued2011
dc.date.updated2021-08-01T08:35:40Z
dc.identifier.isbn9781457708909
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.bibliographicCitation.lastpage331
local.bibliographicCitation.startpage326
local.contributor.affiliationOverett, Gary, NICTA
local.contributor.affiliationPetersson, Lars, College of Engineering and Computer Science, ANU
local.contributor.authoruidPetersson, Lars, u4048690
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080104 - Computer Vision
local.identifier.absseo880109 - Road Safety
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.ariespublicationu4334215xPUB972
local.identifier.doi.1109/IVS.2011.5940549
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
01_Overett_Large_scale_sign_detection_2011.pdf
Size:
374.74 KB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS