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LACBoost and FisherBoost: Optimally Building Cascade Classifiers

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dc.contributor.authorShen, Chunhua
dc.contributor.authorWang, Peng
dc.contributor.authorLi, Hanxi
dc.coverage.spatialHeraklion Greece
dc.date.accessioned2015-12-10T23:05:56Z
dc.date.createdSeptember 5-11 2010
dc.date.issued2010
dc.date.updated2015-12-10T08:50:21Z
dc.description.abstractObject detection is one of the key tasks in computer vision. The cascade framework of Viola and Jones has become the de facto standard. A classifier in each node of the cascade is required to achieve extremely high detection rates, instead of low overall
dc.identifier.isbn9783642155543
dc.identifier.urihttp://hdl.handle.net/1885/62570
dc.publisherSpringer
dc.relation.ispartofseriesEuropean Conference on Computer Vision (ECCV 2010)
dc.sourceProceedings of the European Conference on Computer Vision (ECCV 2010)
dc.titleLACBoost and FisherBoost: Optimally Building Cascade Classifiers
dc.typeConference paper
local.bibliographicCitation.lastpage621
local.bibliographicCitation.startpage608
local.contributor.affiliationShen, Chunhua, College of Engineering and Computer Science, ANU
local.contributor.affiliationWang, Peng, Beihang University
local.contributor.affiliationLi, Hanxi, College of Engineering and Computer Science, ANU
local.contributor.authoruidShen, Chunhua, a224095
local.contributor.authoruidLi, Hanxi, u4437149
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080104 - Computer Vision
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4334215xPUB712
local.identifier.doi10.1007/978-3-642-15552-9_44
local.identifier.scopusID2-s2.0-78149348865
local.type.statusPublished Version

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