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dc.contributor.authorCHEN, Zen_US
dc.contributor.authorLEE, HJen_US
dc.date.accessioned2014-12-08T15:04:59Z-
dc.date.available2014-12-08T15:04:59Z-
dc.date.issued1992-03-01en_US
dc.identifier.issn0018-9472en_US
dc.identifier.urihttp://dx.doi.org/10.1109/21.148408en_US
dc.identifier.urihttp://hdl.handle.net/11536/3505-
dc.description.abstractA computer vision method is presented to determine the 3-D spatial locations of joints or feature points of a human body from a film recording the human motion during walking. The proposed method first applies the geometric projection theory to obtain a set of feasible postures from a single image, then it makes use of the given dimensions of the human stick figure, physiological and motion-specific knowledge to constrain the feasible postures in both the single-frame analysis and the multi-frame analysis. Finally a unique gait interpretation is selected by an optimization algorithm. Computer simulations are used to illustrate the ideas presented.en_US
dc.language.isoen_USen_US
dc.titleKNOWLEDGE-GUIDED VISUAL-PERCEPTION OF 3-D HUMAN GAIT FROM A SINGLE IMAGE SEQUENCEen_US
dc.typeNoteen_US
dc.identifier.doi10.1109/21.148408en_US
dc.identifier.journalIEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICSen_US
dc.citation.volume22en_US
dc.citation.issue2en_US
dc.citation.spage336en_US
dc.citation.epage342en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:A1992JF03400014-
dc.citation.woscount54-
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