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dc.contributor.authorLim, A.
dc.contributor.authorTan, Tele
dc.contributor.editorIEEE
dc.date.accessioned2017-01-30T14:59:47Z
dc.date.available2017-01-30T14:59:47Z
dc.date.created2010-03-23T20:02:59Z
dc.date.issued2004
dc.identifier.citationLim, A. and Tan, Tele. 2004. Human posture recognition in video sequence using Pseudo 2-D Hidden Markov Models, in IEEE (ed), IEEE International Conference on Automation, Robotics and Vision (ICARCV 2004), Dec 1 2004, pp. 712-716.Singapore: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/42444
dc.publisherIEEE
dc.titleHuman posture recognition in video sequence using Pseudo 2-D Hidden Markov Models
dc.typeConference Paper
dcterms.source.startPage712
dcterms.source.endPage716
dcterms.source.titleHuman posture recognition in video sequence using Pseudo 2-D Hidden Markov Models
dcterms.source.seriesHuman posture recognition in video sequence using Pseudo 2-D Hidden Markov Models
dcterms.source.isbn0-7803-8654-X
dcterms.source.conferenceIEEE International Conference on Automation, Robotics and Vision (ICARCV 2004)
dcterms.source.conference-start-dateDec 1 2004
dcterms.source.conferencelocationSingapore
dcterms.source.placeUSA
curtin.note

Copyright © 2004 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

curtin.accessStatusOpen access
curtin.facultySchool of Science and Computing
curtin.facultyDepartment of Computing
curtin.facultyFaculty of Science and Engineering


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