Extracting Key Postures Using Radon Transform

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dc.contributor.author Chen, Yan en_US
dc.contributor.author Wu, Qiang en_US
dc.contributor.author Du, Chunhua en_US
dc.contributor.author Yang, Jie en_US
dc.contributor.author He, Sean en_US
dc.contributor.editor Kenji Irie & David Pairman en_US
dc.date.accessioned 2010-05-28T10:00:40Z
dc.date.available 2010-05-28T10:00:40Z
dc.date.issued 2008 en_US
dc.identifier 2008001703 en_US
dc.identifier.citation Chen Yan et al. 2008, 'Extracting Key Postures Using Radon Transform', IEEE, Christchurch, New Zealand, pp. 1-5. en_US
dc.identifier.issn 978-1-4244-2582-2 en_US
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. en_US
dc.language en_US
dc.publisher IEEE en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/IVCNZ.2008.4762106 en_US
dc.title Extracting Key Postures Using Radon Transform en_US
dc.parent Image and Vision Computing New Zealand (IVCNZ 2008) en_US
dc.journal.volume en_US
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.for 080104 en_US
dc.personcode 10389219 en_US
dc.personcode 000748 en_US
dc.personcode 990421 en_US
dc.personcode 102169 en_US
dc.personcode 0000027379 en_US
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.location.activity Christchurch, New Zealand en_US
dc.description.keywords en_US


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