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Dissertation (MSc (Computer Science))--University of Pretoria, 2007.
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| Format: | Thesis |
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University of Pretoria
2013
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| _version_ | 1867613676709609472 |
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| access_status_str | Open Access |
| author2 | Lalioti, Vali |
| author_browse | Lalioti, Vali |
| author_facet | Lalioti, Vali |
| collection | Thesis |
| dc_rights_str_mv | © 1999, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MSc (Computer Science))--University of Pretoria, 2007. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/29606 |
| institution | University of Pretoria (South Africa) |
| last_indexed | 2026-06-10T12:39:56.368Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/29606 A device-free locator using computer vision techniques Lalioti, Vali upetd@up.ac.za Du Pisanie, L. Van den Bergh, Frans Human-computer interaction Computer vision Real time data processing UCTD Dissertation (MSc (Computer Science))--University of Pretoria, 2007. Device-free locators allow the user to interact with a system without the burden of being physically in contact with some input device or without being connected to the system with cables. This thesis presents a device-free locator that uses computer vision techniques to recognize and track the user's hand. The system described herein uses a video camera to capture live video images of the user, which are segmented and processed to extract features that can be used to locate the user's hand within the image. Two types of features, namely moment based invariants and Fourier descriptors, are compared experimentally. An important property of both these techniques is that they allow the recognition of hand-shapes regardless of affine transformation, e.g. rotation within the plane or scale changes. A neural network is used to classify the extracted features as belonging to one of several hand signals, which can be used in the locator system as 'button clicks' or mode indicators. The Siltrack system described herein illustrates that the above techniques can be implemented in real-time on standard hardware. Computer Science unrestricted 2013-09-07T16:06:21Z 2006-11-20 2013-09-07T16:06:21Z 1999-12-01 2007-11-20 2006-11-20 Dissertation Van den Bergh, F 1999, A device-free locator using computer vision techniques, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/29606 > H677/ag http://hdl.handle.net/2263/29606 http://upetd.up.ac.za/thesis/available/etd-11202006-101829/ © 1999, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | Human-computer interaction Computer vision Real time data processing UCTD A device-free locator using computer vision techniques |
| title | A device-free locator using computer vision techniques |
| title_full | A device-free locator using computer vision techniques |
| title_fullStr | A device-free locator using computer vision techniques |
| title_full_unstemmed | A device-free locator using computer vision techniques |
| title_short | A device-free locator using computer vision techniques |
| title_sort | device free locator using computer vision techniques |
| topic | Human-computer interaction Computer vision Real time data processing UCTD |
| url | http://hdl.handle.net/2263/29606 http://upetd.up.ac.za/thesis/available/etd-11202006-101829/ |