Utilising gamification approaches to derive crowd pattern/crowd context from aerial images of major events

Detalhes bibliográficos
Autor(a) principal: Gerezigiher, Gebru Welay
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/33793
Resumo: Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies
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spelling Utilising gamification approaches to derive crowd pattern/crowd context from aerial images of major eventsGeo-gameCrowdsourcingStampedeLeast cost pathCrowd density mapAerial crowd imagery and major eventsDissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial TechnologiesA large number of casualties occur during emergencies in highly-crowded public spaces of major events like annual anniversaries, religious festivals, big parties and football matches due to stampedes. It has been often observed that poor resource management is one of the key areas that could be improved to solve this problem. In this study,a geo-game-based approach has been adopted to alert responsible authorities of highly crowded regions as an early warning system and also provide them with optimal dispersal routes. In the Android-based game that was developed for this study, the players could draw polygons on real-time imageries of the area under study obtained from unmanned aerial vehicles and classify them into categories based on how crowded the region is. This data is submitted to a web server which is processed to find suitable least-cost routes by which the people in the crowded regions can be brought to safety in case of an emergency. The spatial distribution of people could be forwarded to appropriate authorities in-charge of the administration highlighting extremely crowded regions which need their attention thereby prompting redirection of security personnel. Additionally, the calculated dispersal routes could be used by them as suggestions to avoid a stampede and ensure safety in case the situation turns worse.Bartoschek, ThomasHillen, FlorianHenriques, Roberto André PereiraRUNGerezigiher, Gebru Welay2018-04-04T15:27:02Z2018-02-022018-02-02T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/33793TID:201893894enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-10T15:43:19ZPortal AgregadorONG
dc.title.none.fl_str_mv Utilising gamification approaches to derive crowd pattern/crowd context from aerial images of major events
title Utilising gamification approaches to derive crowd pattern/crowd context from aerial images of major events
spellingShingle Utilising gamification approaches to derive crowd pattern/crowd context from aerial images of major events
Gerezigiher, Gebru Welay
Geo-game
Crowdsourcing
Stampede
Least cost path
Crowd density map
Aerial crowd imagery and major events
title_short Utilising gamification approaches to derive crowd pattern/crowd context from aerial images of major events
title_full Utilising gamification approaches to derive crowd pattern/crowd context from aerial images of major events
title_fullStr Utilising gamification approaches to derive crowd pattern/crowd context from aerial images of major events
title_full_unstemmed Utilising gamification approaches to derive crowd pattern/crowd context from aerial images of major events
title_sort Utilising gamification approaches to derive crowd pattern/crowd context from aerial images of major events
author Gerezigiher, Gebru Welay
author_facet Gerezigiher, Gebru Welay
author_role author
dc.contributor.none.fl_str_mv Bartoschek, Thomas
Hillen, Florian
Henriques, Roberto André Pereira
RUN
dc.contributor.author.fl_str_mv Gerezigiher, Gebru Welay
dc.subject.por.fl_str_mv Geo-game
Crowdsourcing
Stampede
Least cost path
Crowd density map
Aerial crowd imagery and major events
topic Geo-game
Crowdsourcing
Stampede
Least cost path
Crowd density map
Aerial crowd imagery and major events
description Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies
publishDate 2018
dc.date.none.fl_str_mv 2018-04-04T15:27:02Z
2018-02-02
2018-02-02T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/33793
TID:201893894
url http://hdl.handle.net/10362/33793
identifier_str_mv TID:201893894
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv
repository.mail.fl_str_mv
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