{"id":{"repo_id":"cape-town","oai_identifier":"oai:open.uct.ac.za:11427/5114"},"canonical_url":"https://search.dev.ndltd.org/etd/cape-town/oai:open.uct.ac.za:11427/5114","repository":{"repo_id":"cape-town","name":"University of Cape Town","base_url":"https://open.uct.ac.za/oai/request"},"display":{"title":"Segmentation in image sequences : tracking human figures in motion","abstract":"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.","abstract_html":"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.","abstract_has_math":false,"creators":["Robertson, Frances"],"institution":"Department of Electrical Engineering","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["De Jager, Gerhard"],"committee_chairs":[],"committee_members":[],"year":2001,"date_issued":"2001","date_published":"2001","updated_at":"2026-07-22T22:22:46Z","subjects":[],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11427/5114","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["De Jager, Gerhard"]},{"key":"dc:creator","label":"Author","values":["Robertson, Frances"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2014-07-31T10:53:26Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2014-07-31T10:53:26Z"]},{"key":"dc:date.issued","label":"Date","values":["2001"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Department of Electrical Engineering"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Cape Town"]},{"key":"dc:type","label":"Dc Type","values":["Master Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["Masters"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["MSc"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11427/5114"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Bibliography: leaves 121-127."]},{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:title","label":"Title","values":["Segmentation in image sequences : tracking human figures in motion"]}]}],"canonical_facts":{"dc:contributor.advisor":["De Jager, Gerhard"],"dc:creator":["Robertson, Frances"],"dc:date.accessioned":["2014-07-31T10:53:26Z"],"dc:date.available":["2014-07-31T10:53:26Z"],"dc:date.issued":["2001"],"dc:description":["Bibliography: leaves 121-127."],"dc:description.abstract":["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."],"dc:identifier.uri":["http://hdl.handle.net/11427/5114"],"dc:language.iso":["eng"],"dc:publisher.department":["Department of Electrical Engineering"],"dc:publisher.institution":["University of Cape Town"],"dc:title":["Segmentation in image sequences : tracking human figures in motion"],"dc:type":["Master Thesis"],"dc:type.qualificationlevel":["Masters"],"dc:type.qualificationname":["MSc"]},"updated_at":"2026-07-22T22:22:46Z"}