A Descriptive Tour of the Semantic Structures Apply to Video Surveillance Systems

Automatic systems that monitor human behavior for detecting security problems are a challenge today. In this work, we analysing the semantic structure required to representing the human behaviour in high-level semantic events. We identify the principal components of different ontologies and describe...

Полное описание

Сохранить в:
Библиографические подробности
Главный автор: Cartuche Flores, C. (author)
Другие авторы: Gomez Alvarado, H. (author), Malo Martinez, S. (author)
Формат: article
Опубликовано: 2015
Предметы:
Online-ссылка:http://dspace.utpl.edu.ec/handle/123456789/18859
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!
_version_ 1858364503258824704
author Cartuche Flores, C.
author2 Gomez Alvarado, H.
Malo Martinez, S.
author2_role author
author
author_facet Cartuche Flores, C.
Gomez Alvarado, H.
Malo Martinez, S.
author_role author
collection Repositorio Universidad Técnica Particular de Loja
dc.creator.none.fl_str_mv Cartuche Flores, C.
Gomez Alvarado, H.
Malo Martinez, S.
dc.date.none.fl_str_mv 02/03/2016
2015-12-14
2017-06-16T22:02:29Z
2017-06-16T22:02:29Z
dc.identifier.none.fl_str_mv 10.1007/978-3-319-31232-3_34
2194-5357
978-3-319-31231-6
10.1007/978-3-319-31232-3_34
http://dspace.utpl.edu.ec/handle/123456789/18859
dc.language.none.fl_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:Repositorio Universidad Técnica Particular de Loja
instname:Universidad Técnica Particular de Loja
instacron:UTPL
dc.subject.none.fl_str_mv High-level activities
Video scene understanding
Human behavior recognition
Video-surveillance
Multisensory surveillance
Ontology-based recognition
dc.title.none.fl_str_mv A Descriptive Tour of the Semantic Structures Apply to Video Surveillance Systems
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Automatic systems that monitor human behavior for detecting security problems are a challenge today. In this work, we analysing the semantic structure required to representing the human behaviour in high-level semantic events. We identify the principal components of different ontologies and describe the goal of each semantic structure. This work describes Horus, because we believe that this framework is a good example of a methodology composed to different levels, the goal is to describe human behavior a video surveillance systems. We propose an idea to complete Horus based in semantic structures. The finish work is obtain an art state about semantic structures apply to video surveillance systems, and generating conclusions and future works from of theory.
eu_rights_str_mv openAccess
format article
id UTPL_d51b77db0bce75f6ec33fb3fefe48a59
identifier_str_mv 10.1007/978-3-319-31232-3_34
2194-5357
978-3-319-31231-6
instacron_str UTPL
institution UTPL
instname_str Universidad Técnica Particular de Loja
language_invalid_str_mv Inglés
network_acronym_str UTPL
network_name_str Repositorio Universidad Técnica Particular de Loja
oai_identifier_str oai:dspace.utpl.edu.ec:123456789/18859
publishDate 2015
reponame_str Repositorio Universidad Técnica Particular de Loja
repository.mail.fl_str_mv .
repository.name.fl_str_mv Repositorio Universidad Técnica Particular de Loja - Universidad Técnica Particular de Loja
repository_id_str 1227
spelling A Descriptive Tour of the Semantic Structures Apply to Video Surveillance SystemsCartuche Flores, C.Gomez Alvarado, H.Malo Martinez, S.High-level activitiesVideo scene understandingHuman behavior recognitionVideo-surveillanceMultisensory surveillanceOntology-based recognitionAutomatic systems that monitor human behavior for detecting security problems are a challenge today. In this work, we analysing the semantic structure required to representing the human behaviour in high-level semantic events. We identify the principal components of different ontologies and describe the goal of each semantic structure. This work describes Horus, because we believe that this framework is a good example of a methodology composed to different levels, the goal is to describe human behavior a video surveillance systems. We propose an idea to complete Horus based in semantic structures. The finish work is obtain an art state about semantic structures apply to video surveillance systems, and generating conclusions and future works from of theory.2017-06-16T22:02:29Z2015-12-142017-06-16T22:02:29Z02/03/2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10.1007/978-3-319-31232-3_342194-5357978-3-319-31231-610.1007/978-3-319-31232-3_34http://dspace.utpl.edu.ec/handle/123456789/18859Inglésinfo:eu-repo/semantics/openAccessreponame:Repositorio Universidad Técnica Particular de Lojainstname:Universidad Técnica Particular de Lojainstacron:UTPL2017-06-16T22:02:29Zoai:dspace.utpl.edu.ec:123456789/18859Institucionalhttps://dspace.utpl.edu.ec/Institución privadahttps://www.utpl.edu.ec/https://dspace.utpl.edu.ec/oai.Ecuador...opendoar:12272017-06-16T22:02:29Repositorio Universidad Técnica Particular de Loja - Universidad Técnica Particular de Lojafalse
spellingShingle A Descriptive Tour of the Semantic Structures Apply to Video Surveillance Systems
Cartuche Flores, C.
High-level activities
Video scene understanding
Human behavior recognition
Video-surveillance
Multisensory surveillance
Ontology-based recognition
status_str publishedVersion
title A Descriptive Tour of the Semantic Structures Apply to Video Surveillance Systems
title_full A Descriptive Tour of the Semantic Structures Apply to Video Surveillance Systems
title_fullStr A Descriptive Tour of the Semantic Structures Apply to Video Surveillance Systems
title_full_unstemmed A Descriptive Tour of the Semantic Structures Apply to Video Surveillance Systems
title_short A Descriptive Tour of the Semantic Structures Apply to Video Surveillance Systems
title_sort A Descriptive Tour of the Semantic Structures Apply to Video Surveillance Systems
topic High-level activities
Video scene understanding
Human behavior recognition
Video-surveillance
Multisensory surveillance
Ontology-based recognition
url http://dspace.utpl.edu.ec/handle/123456789/18859