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Segmentation in image sequences : tracking human figures in motion
Bibliography: leaves 121-127.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Electrical Engineering
2014
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| _version_ | 1867613188981260288 |
|---|---|
| access_status_str | Open Access |
| author | Robertson, Frances |
| author2 | De Jager, Gerhard |
| author_browse | De Jager, Gerhard Robertson, Frances |
| author_facet | De Jager, Gerhard Robertson, Frances |
| author_sort | Robertson, Frances |
| collection | Thesis |
| description | Bibliography: leaves 121-127. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/5114 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:11.035Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Department of Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/5114 Segmentation in image sequences : tracking human figures in motion Robertson, Frances De Jager, Gerhard Electrical Engineering Bibliography: leaves 121-127. 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. 2014-07-31T10:53:26Z 2014-07-31T10:53:26Z 2001 Master Thesis Masters MSc http://hdl.handle.net/11427/5114 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Electrical Engineering Robertson, Frances Segmentation in image sequences : tracking human figures in motion |
| thesis_degree_str | Master's |
| title | Segmentation in image sequences : tracking human figures in motion |
| title_full | Segmentation in image sequences : tracking human figures in motion |
| title_fullStr | Segmentation in image sequences : tracking human figures in motion |
| title_full_unstemmed | Segmentation in image sequences : tracking human figures in motion |
| title_short | Segmentation in image sequences : tracking human figures in motion |
| title_sort | segmentation in image sequences tracking human figures in motion |
| topic | Electrical Engineering |
| url | http://hdl.handle.net/11427/5114 |
| work_keys_str_mv | AT robertsonfrances segmentationinimagesequencestrackinghumanfiguresinmotion |