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Learning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning

Wang, Tao; He, Xuming; Barnes, Nick

Description

We propose a structured Hough voting method for detecting objects with heavy occlusion in indoor environments. First, we extend the Hough hypothesis space to include both object location and its visibility pattern, and design a new score function that acc

dc.contributor.authorWang, Tao
dc.contributor.authorHe, Xuming
dc.contributor.authorBarnes, Nick
dc.coverage.spatialPortland United States of America
dc.date.accessioned2015-12-08T22:27:08Z
dc.date.createdJune 23-28 2013
dc.identifier.urihttp://hdl.handle.net/1885/33939
dc.description.abstractWe propose a structured Hough voting method for detecting objects with heavy occlusion in indoor environments. First, we extend the Hough hypothesis space to include both object location and its visibility pattern, and design a new score function that acc
dc.publisherIEEE
dc.relation.ispartofseries26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013
dc.sourceProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
dc.titleLearning Structured Hough Voting for Joint Object Detection and Occlusion Reasoning
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2013
local.identifier.absfor080104 - Computer Vision
local.identifier.ariespublicationu5114172xPUB107
local.type.statusPublished Version
local.contributor.affiliationWang, Tao, College of Engineering and Computer Science, ANU
local.contributor.affiliationHe, Xuming, College of Engineering and Computer Science, ANU
local.contributor.affiliationBarnes, Nick, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage1790
local.bibliographicCitation.lastpage1797
local.identifier.doi10.1109/CVPR.2013.234
local.identifier.absseo970109 - Expanding Knowledge in Engineering
dc.date.updated2015-12-08T09:17:17Z
local.identifier.scopusID2-s2.0-84887359553
local.identifier.thomsonID000331094301108
CollectionsANU Research Publications

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