People Detection and Tracking using Depth Camera
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/11110/533 |
Resumo: | In this paper we present a method for real-time detection and tracking of people in video captured by a depth camera. For each object to be assessed, an ordered sequence of values that represents the distances between its center of mass to the boundary points is calculated. The recognition is based on the analysis of the total distance value between the above sequence and some pre-defined human poses, after apply the Dynamic Time Warping. This similarity approach showed robust results in people detection. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
spelling |
People Detection and Tracking using Depth CameraPeopleSegmentationIn this paper we present a method for real-time detection and tracking of people in video captured by a depth camera. For each object to be assessed, an ordered sequence of values that represents the distances between its center of mass to the boundary points is calculated. The recognition is based on the analysis of the total distance value between the above sequence and some pre-defined human poses, after apply the Dynamic Time Warping. This similarity approach showed robust results in people detection.CRC Press2013-12-21T14:07:36Z2013-12-21T14:07:36Z2012-08-28T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/11110/533oai:ciencipca.ipca.pt:11110/533eng9780415621342http://hdl.handle.net/11110/533Silva, RuiDuque, Duarteinfo: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:RCAAP2022-09-05T12:52:05Zoai:ciencipca.ipca.pt:11110/533Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T15:00:57.943398Repositório 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 |
People Detection and Tracking using Depth Camera |
title |
People Detection and Tracking using Depth Camera |
spellingShingle |
People Detection and Tracking using Depth Camera Silva, Rui People Segmentation |
title_short |
People Detection and Tracking using Depth Camera |
title_full |
People Detection and Tracking using Depth Camera |
title_fullStr |
People Detection and Tracking using Depth Camera |
title_full_unstemmed |
People Detection and Tracking using Depth Camera |
title_sort |
People Detection and Tracking using Depth Camera |
author |
Silva, Rui |
author_facet |
Silva, Rui Duque, Duarte |
author_role |
author |
author2 |
Duque, Duarte |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Silva, Rui Duque, Duarte |
dc.subject.por.fl_str_mv |
People Segmentation |
topic |
People Segmentation |
description |
In this paper we present a method for real-time detection and tracking of people in video captured by a depth camera. For each object to be assessed, an ordered sequence of values that represents the distances between its center of mass to the boundary points is calculated. The recognition is based on the analysis of the total distance value between the above sequence and some pre-defined human poses, after apply the Dynamic Time Warping. This similarity approach showed robust results in people detection. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-08-28T00:00:00Z 2013-12-21T14:07:36Z 2013-12-21T14:07:36Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/11110/533 oai:ciencipca.ipca.pt:11110/533 |
url |
http://hdl.handle.net/11110/533 |
identifier_str_mv |
oai:ciencipca.ipca.pt:11110/533 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
9780415621342 http://hdl.handle.net/11110/533 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
CRC Press |
publisher.none.fl_str_mv |
CRC Press |
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 |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799129879872012288 |