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An adaptive feature-based tracking system
Thesis (MSc (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2008.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Stellenbosch : University of Stellenbosch
2008
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| _version_ | 1867614009114492928 |
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| access_status_str | Open Access |
| author | Pretorius, Eugene |
| author2 | Herbst, B. M. |
| author_browse | Herbst, B. M. Pretorius, Eugene |
| author_facet | Herbst, B. M. Pretorius, Eugene |
| author_sort | Pretorius, Eugene |
| collection | Thesis |
| dc_rights_str_mv | University of Stellenbosch |
| description | Thesis (MSc (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2008. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/1716 |
| institution | Stellenbosch University (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:45:13.015Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2008 |
| publishDateRange | 2008 |
| publishDateSort | 2008 |
| publisher | Stellenbosch : University of Stellenbosch |
| publisherStr | Stellenbosch : University of Stellenbosch |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/1716 An adaptive feature-based tracking system Pretorius, Eugene Herbst, B. M. Hunter, K. M. University of Stellenbosch. Faculty of Science. Dept. of Mathematical Sciences. Applied Mathematics. Dissertations -- Applied mathematics Computer vision Tracking tools Particle filtering Motion detection Theses -- Applied mathematics Thesis (MSc (Mathematical Sciences. Applied Mathematics))--University of Stellenbosch, 2008. In 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. 2008-09-11T08:22:42Z 2010-06-01T08:31:21Z 2008-09-11T08:22:42Z 2010-06-01T08:31:21Z 2008-03 Thesis http://hdl.handle.net/10019.1/1716 en University of Stellenbosch application/pdf Stellenbosch : University of Stellenbosch |
| spellingShingle | Dissertations -- Applied mathematics Computer vision Tracking tools Particle filtering Motion detection Theses -- Applied mathematics Pretorius, Eugene An adaptive feature-based tracking system |
| title | An adaptive feature-based tracking system |
| title_full | An adaptive feature-based tracking system |
| title_fullStr | An adaptive feature-based tracking system |
| title_full_unstemmed | An adaptive feature-based tracking system |
| title_short | An adaptive feature-based tracking system |
| title_sort | adaptive feature based tracking system |
| topic | Dissertations -- Applied mathematics Computer vision Tracking tools Particle filtering Motion detection Theses -- Applied mathematics |
| url | http://hdl.handle.net/10019.1/1716 |
| work_keys_str_mv | AT pretoriuseugene anadaptivefeaturebasedtrackingsystem AT pretoriuseugene adaptivefeaturebasedtrackingsystem |