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RelCom: Relational combinatorics features for rapid object detection

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dc.contributor.authorVenkataraman, Vijay
dc.contributor.authorPorikli, Fatih
dc.coverage.spatialSan Francisco, California, USA
dc.date.accessioned2015-12-08T22:18:01Z
dc.date.created13-18 June 2010
dc.date.issued2010
dc.date.updated2016-06-14T09:06:55Z
dc.identifier.isbn9781424470297
dc.identifier.urihttp://hdl.handle.net/1885/31154
dc.publisherIEEE
dc.relation.ispartofseries2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
dc.sourceProceedings of 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
dc.subjectKeywords: Benchmark datasets; Boolean operators; Combinatorial functions; Combinatorics; False alarm rate; Higher order; Low-level features; Object Detection; Object detectors; Relational operator; Selection methods; Similarity rules; Small object detection; Spatia
dc.titleRelCom: Relational combinatorics features for rapid object detection
dc.typeConference paper
local.bibliographicCitation.lastpage30
local.bibliographicCitation.startpage23
local.contributor.affiliationVenkataraman, Vijay, Oklahoma State University
local.contributor.affiliationPorikli, Fatih, College of Engineering and Computer Science, ANU
local.contributor.authoruidPorikli, Fatih, u5405232
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor090602 - Control Systems, Robotics and Automation
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.ariespublicationu4628727xPUB80
local.identifier.doi10.1109/CVPRW.2010.5543545
local.identifier.scopusID2-s2.0-77956527492
local.type.statusPublished Version

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