Segmentation in image sequences : tracking human figures in motion

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dc.contributor.advisorDe Jager, Gerharden_ZA
dc.contributor.authorRobertson, Francesen_ZA
dc.date.accessioned2014-07-31T10:53:26Z
dc.date.available2014-07-31T10:53:26Z
dc.date.issued2001en_ZA
dc.descriptionBibliography: leaves 121-127.
dc.description.abstractThis thesis addressed the issue of segmentation and tracking of human figures in video sequences. Various issues affecting segmentation are investigated, including selection of a colour space representation. Different methods for segmentation are implemented and their respsective merits and disadvantages discovered. These are largely various forms of colour and motion segmentation. The different forms are then combined in order to produce a segmentation that is more effective than any of the component techniques on its own. The tracking problem is addressed separately through the use of a Smart Room, where the segmentation can be easily performed. The tracking involves a trajectory for a given person over time in the image frame co-ordinate system.en_ZA
dc.identifier.apacitationRobertson, F. (2001). <i>Segmentation in image sequences : tracking human figures in motion</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/5114en_ZA
dc.identifier.chicagocitationRobertson, Frances. <i>"Segmentation in image sequences : tracking human figures in motion."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2001. http://hdl.handle.net/11427/5114en_ZA
dc.identifier.citationRobertson, F. 2001. Segmentation in image sequences : tracking human figures in motion. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Robertson, Frances AB - This thesis addressed the issue of segmentation and tracking of human figures in video sequences. Various issues affecting segmentation are investigated, including selection of a colour space representation. Different methods for segmentation are implemented and their respsective merits and disadvantages discovered. These are largely various forms of colour and motion segmentation. The different forms are then combined in order to produce a segmentation that is more effective than any of the component techniques on its own. The tracking problem is addressed separately through the use of a Smart Room, where the segmentation can be easily performed. The tracking involves a trajectory for a given person over time in the image frame co-ordinate system. DA - 2001 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2001 T1 - Segmentation in image sequences : tracking human figures in motion TI - Segmentation in image sequences : tracking human figures in motion UR - http://hdl.handle.net/11427/5114 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/5114
dc.identifier.vancouvercitationRobertson F. Segmentation in image sequences : tracking human figures in motion. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2001 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/5114en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical Engineeringen_ZA
dc.titleSegmentation in image sequences : tracking human figures in motionen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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