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Single pixel robust approach for background subtraction for fast people-counting and direction estimation
Dissertation (MEng)--University of Pretoria, 2013.
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| Format: | Thesis |
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University of Pretoria
2013
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| _version_ | 1867613520705617920 |
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| access_status_str | Open Access |
| author2 | Hancke, Gerhard P. |
| author_browse | Hancke, Gerhard P. |
| author_facet | Hancke, Gerhard P. |
| collection | Thesis |
| dc_rights_str_mv | © 2013 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 (MEng)--University of Pretoria, 2013. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/25430 |
| institution | University of Pretoria (South Africa) |
| last_indexed | 2026-06-10T12:37:27.661Z |
| 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:2263/25430 Single pixel robust approach for background subtraction for fast people-counting and direction estimation Hancke, Gerhard P. Hancke, Gerhard P. dolly.adegboye@gmail.com Adegboye, Adedolapo Olaide Agtergrond aftrekking Rigting skatting Feature extraction Morfologiese verwerking Virtuele lyn People counting Background subtraction Direction estimation Mense tel Morphological processing Virtual line UCTD Dissertation (MEng)--University of Pretoria, 2013. People counting system involves the process of counting and estimating the number of people in a scene. The counting system has a number of useful applications, ranging from pedestrian traffic surveillance and monitoring the number of people that enters and leaves shopping malls to commercial buildings, vehicles and a number of other security-related applications. Over the years, significant progress has been made. However, people counting systems still have not overcome a number of challenges such as occlusions, human pose and direction, multiple people detection, varying lighting and weather conditions. The aim of this research is to present an optimal solution that is invariant to the challenges. That is, the outcome of the results will not be affected by the challenges. Also, the solution will handle the trade-off between the counting accuracy and the time it takes to implement the counting process. As a result, a new background subtraction method known as single pixel method is proposed. This is where useful features are collected from each scene using frame difference method. Then, these features are reduced into single pixels. The single pixels are then used to estimate the total number of people in the scene. Furthermore, a virtual-line direction-estimation method is presented where the directions in which the people are heading are estimated prior to counting. AFRIKAANS : Mense-telstelsels behels die proses van die tel en die beraming van die aantal mense op ’n toneel. Die telstelsel het ’n aantal nuttige toepassings wat wissel van voetgangerverkeer toesig en die monitering van die aantal mense wat binnekom en verlaat tot winkelsentrums, kommersiële geboue, voertuie, en ’n aantal ander sekuriteit-verwante programme. Oor die jare is beduidende vordering gemaak. Daar is egter ’n aantal uitdagings wat mense-telstelsels nog nie oorkom het nie, soos afsluiting, menslike inhou en rigting, die opsporing van veelvoudige mense, wisselende beligting en weerstoestande. Die doel van hierdie navorsing is om ’n optimale oplossing aan te bied, wat invariant is teen die uitdagings. Met ander woorde, die uitdagings sal nie die resultate affekteer nie. Die oplossing sal ook die uitruil tussen die tel akkuraatheid en die implementeringstyd van die telproses hanteer. As gevolg hiervan, is ’n nuwe agtergrondaftrekkingsmetode, wat bekend staan as ’n enkele beeldelement metode, voorgestel. Dit is waar die nuttige funksies van elke toneel, met behulp van die raamverskilmetode ingesamel word. Dan word hierdie eienskappe in enkele beeldelemente verminder. Die enkele beeldelemente word dan gebruik om die totale aantal mense in die toneel te skat. Verder is daar van ’n virtuele-lyn rigting-skatting metode gebruik gemaak wat die rigtings waarin die mense beweeg vooraf beraam. Electrical, Electronic and Computer Engineering unrestricted 2013-09-06T21:18:34Z 2013-06-12 2013-09-06T21:18:34Z 2013-04-15 2013-06-12 2013-06-10 Dissertation Adegboye, AO 2013, Single pixel robust approach for background subtraction for fast people-counting and direction estimationhe, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/25430 > E13/4/725/gm http://hdl.handle.net/2263/25430 http://upetd.up.ac.za/thesis/available/etd-06102013-143322/ © 2013 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 | Agtergrond aftrekking Rigting skatting Feature extraction Morfologiese verwerking Virtuele lyn People counting Background subtraction Direction estimation Mense tel Morphological processing Virtual line UCTD Single pixel robust approach for background subtraction for fast people-counting and direction estimation |
| title | Single pixel robust approach for background subtraction for fast people-counting and direction estimation |
| title_full | Single pixel robust approach for background subtraction for fast people-counting and direction estimation |
| title_fullStr | Single pixel robust approach for background subtraction for fast people-counting and direction estimation |
| title_full_unstemmed | Single pixel robust approach for background subtraction for fast people-counting and direction estimation |
| title_short | Single pixel robust approach for background subtraction for fast people-counting and direction estimation |
| title_sort | single pixel robust approach for background subtraction for fast people counting and direction estimation |
| topic | Agtergrond aftrekking Rigting skatting Feature extraction Morfologiese verwerking Virtuele lyn People counting Background subtraction Direction estimation Mense tel Morphological processing Virtual line UCTD |
| url | http://hdl.handle.net/2263/25430 http://upetd.up.ac.za/thesis/available/etd-06102013-143322/ |