An adaptive feature-based tracking system

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dc.contributor.advisorHerbst, B. M.
dc.contributor.advisorHunter, K. M.
dc.contributor.authorPretorius, Eugene
dc.contributor.otherUniversity of Stellenbosch. Faculty of Science. Dept. of Mathematical Sciences. Applied Mathematics.
dc.date.accessioned2008-09-11T08:22:42Zen_ZA
dc.date.accessioned2010-06-01T08:31:21Z
dc.date.available2008-09-11T08:22:42Zen_ZA
dc.date.available2010-06-01T08:31:21Z
dc.date.issued2008-03
dc.descriptionThesis (MSc (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2008.
dc.description.abstractIn this paper, tracking tools are developed based on object features to robustly track the object using particle filtering. Automatic on-line initialisation techniques use motion detection and dynamic background modelling to extract features of moving objects. Automatically adapting the feature models during tracking is implemented and tested.en
dc.identifier.urihttp://hdl.handle.net/10019.1/1716
dc.language.isoen
dc.publisherStellenbosch : University of Stellenbosch
dc.rights.holderUniversity of Stellenbosch
dc.subjectDissertations -- Applied mathematicsen
dc.subjectTheses -- Applied mathematics
dc.subjectComputer visionen
dc.subjectTracking toolsen
dc.subjectParticle filteringen
dc.subjectMotion detectionen
dc.titleAn adaptive feature-based tracking systemen
dc.typeThesis
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