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Using colour features to classify objects and people in a video surveillance network
Includes bibliographical references (leaves 133-138).
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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_ | 1867613280123486208 |
|---|---|
| access_status_str | Open Access |
| author | Price, Mathew |
| author2 | De Jager, Gerhard |
| author_browse | De Jager, Gerhard Price, Mathew |
| author_facet | De Jager, Gerhard Price, Mathew |
| author_sort | Price, Mathew |
| collection | Thesis |
| description | Includes bibliographical references (leaves 133-138). |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/5121 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:33:37.862Z |
| 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:11427/5121 Using colour features to classify objects and people in a video surveillance network Price, Mathew De Jager, Gerhard Nicolls, Fred Electrical Engineering Includes bibliographical references (leaves 133-138). Visual tracking of humans has proved to be an extremely challenging task for computer vision systems. One idea towards a development of these systems is the incorporation of colour. Often colour appearance of a person can provide enough information to identify an object or person in the short-term. However, the imprecise nature of colour measurements typically encountered in image processing has limited their use. This thesis presents a system which uses colour appearances of objects and people for tracking across multiple camera views in a digital video surveillance network. 2014-07-31T10:53:57Z 2014-07-31T10:53:57Z 2004 Master Thesis Masters MSc http://hdl.handle.net/11427/5121 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Electrical Engineering Price, Mathew Using colour features to classify objects and people in a video surveillance network |
| thesis_degree_str | Master's |
| title | Using colour features to classify objects and people in a video surveillance network |
| title_full | Using colour features to classify objects and people in a video surveillance network |
| title_fullStr | Using colour features to classify objects and people in a video surveillance network |
| title_full_unstemmed | Using colour features to classify objects and people in a video surveillance network |
| title_short | Using colour features to classify objects and people in a video surveillance network |
| title_sort | using colour features to classify objects and people in a video surveillance network |
| topic | Electrical Engineering |
| url | http://hdl.handle.net/11427/5121 |
| work_keys_str_mv | AT pricemathew usingcolourfeaturestoclassifyobjectsandpeopleinavideosurveillancenetwork |