A video-based traffic monitoring system

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dc.contributor.advisorHerbst, B. M.
dc.contributor.advisorMuller, N. L.
dc.contributor.authorMagaia, Lourenco Lazaro
dc.contributor.otherUniversity of Stellenbosch. Faculty of Science. Dept. of Mathematical Sciences. Applied Mathematics.
dc.date.accessioned2008-02-06T08:25:43Zen_ZA
dc.date.accessioned2010-06-01T08:16:20Z
dc.date.available2008-02-06T08:25:43Zen_ZA
dc.date.available2010-06-01T08:16:20Z
dc.date.issued2006-12
dc.descriptionThesis (PhD (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2006.
dc.description.abstractThis thesis addresses the problem of bulding a video-based traffic monitoring system. We employ clustering, trackiing and three-dimensional reconstruction of moving objects over a long image sequence. We present an algorithms that robustly recovers the motion and reconstructs three-dimensional shapes from a sequence of video images, Magaia et al [91]. The problem ...en
dc.format.extent7072655 bytesen_ZA
dc.format.mimetypeapplication/pdfen_ZA
dc.identifier.urihttp://hdl.handle.net/10019.1/1243
dc.language.isoen
dc.publisherStellenbosch : University of Stellenbosch
dc.rights.holderUniversity of Stellenbosch
dc.subjectMonitoring systemsen
dc.subjectSurveillance systemsen
dc.subject3D Reconstuctionen
dc.subjectTrackingen
dc.subjectTraffic monitoringen
dc.subjectIntelligent transportation systemsen
dc.subjectKalman filteringen
dc.subjectDissertations -- Applied mathematicsen
dc.subjectTheses -- Applied mathematicsen
dc.titleA video-based traffic monitoring systemen
dc.typeThesisen_ZA
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