Extracting Key Postures Using Radon Transform

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dc.contributor.author Chen, Y
dc.contributor.author Wu, Q
dc.contributor.author He, S
dc.contributor.author Du, C
dc.contributor.author Yang, J
dc.contributor.editor Irie, K
dc.contributor.editor Pairman, D
dc.date.accessioned 2010-05-28T10:00:40Z
dc.date.issued 2008-01
dc.identifier.citation Image and Vision Computing New Zealand (IVCNZ 2008), 2008, pp. 1 - 5
dc.identifier.isbn 978-1-4244-2582-2
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/10947
dc.description.abstract Human key posture extraction will benefit for human action recognition, human action retrieval, human behaviour understanding and so on. This paper proposes an approach to select key postures from a human action video based on Radon transform. Cluster is used on the Radon transform to select the final key postures of human action video. The approach does not require motion extraction from the human action video. The experiments results show that the proposed approach is efficient.
dc.publisher IEEE
dc.relation.isbasedon 10.1109/IVCNZ.2008.4762106
dc.title Extracting Key Postures Using Radon Transform
dc.type Conference Proceeding
dc.parent Image and Vision Computing New Zealand (IVCNZ 2008)
dc.journal.number en_US
dc.publocation Christchurch, New Zealand en_US
dc.identifier.startpage 1 en_US
dc.identifier.endpage 5 en_US
dc.cauo.name INEXT Research Strength Core en_US
dc.conference Verified OK en_US
dc.conference Image and Vision Computing Conference
dc.for 080106 Image Processing
dc.for 080104 Computer Vision
dc.for 080109 Pattern Recognition and Data Mining
dc.personcode 990421
dc.personcode 000748
dc.personcode 102169
dc.percentage 40 en_US
dc.classification.name Computer Vision en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.custom Image and Vision Computing Conference en_US
dc.date.activity 20081126 en_US
dc.date.activity 2008-11-26
dc.location.activity Christchurch, New Zealand en_US
dc.description.keywords en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computing and Communications
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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