Real-time human activity monitoring exploring multiple vision sensors

Detalhes bibliográficos
Autor(a) principal: Peixoto, Paulo
Data de Publicação: 2001
Outros Autores: Batista, Jorge, Araujo, Helder J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/4084
https://doi.org/10.1016/S0921-8890(01)00117-8
Resumo: In this paper, we describe the monitoring of human activity in an indoor environment through the use of multiple vision sensors. The system described in this paper is made up of three cameras. Two of these cameras are active and are part of a binocular system. They operate either as a set of three static cameras or as a set of one fixed camera and an active binocular vision system. The human activity is monitored by extracting several parameters that are useful for their classification. The system enables the creation of a record based on the type of activity. These logs can be selectively accessed and provide images of the humans in specific areas.
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spelling Real-time human activity monitoring exploring multiple vision sensorsSurveillanceActive visionReal-time trackingIn this paper, we describe the monitoring of human activity in an indoor environment through the use of multiple vision sensors. The system described in this paper is made up of three cameras. Two of these cameras are active and are part of a binocular system. They operate either as a set of three static cameras or as a set of one fixed camera and an active binocular vision system. The human activity is monitored by extracting several parameters that are useful for their classification. The system enables the creation of a record based on the type of activity. These logs can be selectively accessed and provide images of the humans in specific areas.http://www.sciencedirect.com/science/article/B6V16-4379G7B-B/1/216c3ddb70ad57a4491b08864d1b29642001info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleaplication/PDFhttp://hdl.handle.net/10316/4084http://hdl.handle.net/10316/4084https://doi.org/10.1016/S0921-8890(01)00117-8engRobotics and Autonomous Systems. 35:3-4 (2001) 221-228Peixoto, PauloBatista, JorgeAraujo, Helder J.info: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:RCAAP2020-11-06T16:59:54Zoai:estudogeral.uc.pt:10316/4084Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:57:53.542304Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Real-time human activity monitoring exploring multiple vision sensors
title Real-time human activity monitoring exploring multiple vision sensors
spellingShingle Real-time human activity monitoring exploring multiple vision sensors
Peixoto, Paulo
Surveillance
Active vision
Real-time tracking
title_short Real-time human activity monitoring exploring multiple vision sensors
title_full Real-time human activity monitoring exploring multiple vision sensors
title_fullStr Real-time human activity monitoring exploring multiple vision sensors
title_full_unstemmed Real-time human activity monitoring exploring multiple vision sensors
title_sort Real-time human activity monitoring exploring multiple vision sensors
author Peixoto, Paulo
author_facet Peixoto, Paulo
Batista, Jorge
Araujo, Helder J.
author_role author
author2 Batista, Jorge
Araujo, Helder J.
author2_role author
author
dc.contributor.author.fl_str_mv Peixoto, Paulo
Batista, Jorge
Araujo, Helder J.
dc.subject.por.fl_str_mv Surveillance
Active vision
Real-time tracking
topic Surveillance
Active vision
Real-time tracking
description In this paper, we describe the monitoring of human activity in an indoor environment through the use of multiple vision sensors. The system described in this paper is made up of three cameras. Two of these cameras are active and are part of a binocular system. They operate either as a set of three static cameras or as a set of one fixed camera and an active binocular vision system. The human activity is monitored by extracting several parameters that are useful for their classification. The system enables the creation of a record based on the type of activity. These logs can be selectively accessed and provide images of the humans in specific areas.
publishDate 2001
dc.date.none.fl_str_mv 2001
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/4084
http://hdl.handle.net/10316/4084
https://doi.org/10.1016/S0921-8890(01)00117-8
url http://hdl.handle.net/10316/4084
https://doi.org/10.1016/S0921-8890(01)00117-8
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Robotics and Autonomous Systems. 35:3-4 (2001) 221-228
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