Multiagent System for Semantic Categorization of Places Mean the Use of Distributed Surveillance Cameras
Surveillance systems are quite common in almost every building. The current dimension of these systems is huge and involves a great deal of hardware and human resources for achieving these objectives. This paper proposes the use of an agent-based architecture for helping in the categorization of the...
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| Format: | article |
| Sprache: | Englisch |
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2020
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| Online-Zugang: | https://link.springer.com/chapter/10.1007/978-3-319-99608-0_64 https://ridda2.utp.ac.pa/handle/123456789/9447 |
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| _version_ | 1869652478012686336 |
|---|---|
| author | Rangel, José Carlos |
| author2 | Pinzón, Cristian |
| author2_role | author |
| author_browse | Pinzón, Cristian Rangel, José Carlos |
| author_facet | Rangel, José Carlos Pinzón, Cristian |
| author_role | author |
| collection | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| dc.creator.none.fl_str_mv | Rangel, José Carlos Pinzón, Cristian |
| dc.date.none.fl_str_mv | 01/09/2019 01/09/2019 2020-01-06T14:36:04Z 2020-01-06T14:36:04Z 2020-01-06T14:36:04Z 2020-01-06T14:36:04Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://link.springer.com/chapter/10.1007/978-3-319-99608-0_64 https://ridda2.utp.ac.pa/handle/123456789/9447 https://ridda2.utp.ac.pa/handle/123456789/9447 |
| dc.language.none.fl_str_mv | eng en |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/embargoedAccess |
| dc.source.none.fl_str_mv | reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP instname:Universidad Tecnológica de Panamá instacron:U Tecnológica de Panamá |
| dc.subject.none.fl_str_mv | Software-Agents Semantic-Categorization Deep-Learning Software-Agents Semantic-Categorization Deep-Learning |
| dc.title.none.fl_str_mv | Multiagent System for Semantic Categorization of Places Mean the Use of Distributed Surveillance Cameras |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| description | Surveillance systems are quite common in almost every building. The current dimension of these systems is huge and involves a great deal of hardware and human resources for achieving these objectives. This paper proposes the use of an agent-based architecture for helping in the categorization of the places where these are deployed. Proposal uses a deep learning model for evaluating the images captured by the cameras and then label the zone where the camera is located. |
| eu_rights_str_mv | embargoedAccess |
| format | article |
| id | lrtest_fde40305191f09ab6ce5d5f72ded74b9 |
| instacron_str | U Tecnológica de Panamá |
| institution | U Tecnológica de Panamá |
| instname_str | Universidad Tecnológica de Panamá |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | lrtest |
| network_name_str | lr |
| oai_identifier_str | oai:ridda2.utp.ac.pa:123456789/9447 |
| publishDate | 2020 |
| publishDateSort | 2020 |
| reponame_str | Repositorio Institucional de documento digitales de acceso abierto de la UTP |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
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| spelling | Multiagent System for Semantic Categorization of Places Mean the Use of Distributed Surveillance CamerasRangel, José CarlosPinzón, CristianSoftware-AgentsSemantic-CategorizationDeep-LearningSoftware-AgentsSemantic-CategorizationDeep-LearningSurveillance systems are quite common in almost every building. The current dimension of these systems is huge and involves a great deal of hardware and human resources for achieving these objectives. This paper proposes the use of an agent-based architecture for helping in the categorization of the places where these are deployed. Proposal uses a deep learning model for evaluating the images captured by the cameras and then label the zone where the camera is located.Surveillance systems are quite common in almost every building. The current dimension of these systems is huge and involves a great deal of hardware and human resources for achieving these objectives. This paper proposes the use of an agent-based architecture for helping in the categorization of the places where these are deployed. Proposal uses a deep learning model for evaluating the images captured by the cameras and then label the zone where the camera is located.2020-01-06T14:36:04Z2020-01-06T14:36:04Z2020-01-06T14:36:04Z2020-01-06T14:36:04Z01/09/201901/09/2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://link.springer.com/chapter/10.1007/978-3-319-99608-0_64https://ridda2.utp.ac.pa/handle/123456789/9447https://ridda2.utp.ac.pa/handle/123456789/9447engeninfo:eu-repo/semantics/embargoedAccessreponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáoai:ridda2.utp.ac.pa:123456789/94472021-07-06T15:35:09Z |
| spellingShingle | Multiagent System for Semantic Categorization of Places Mean the Use of Distributed Surveillance Cameras Rangel, José Carlos Software-Agents Semantic-Categorization Deep-Learning Software-Agents Semantic-Categorization Deep-Learning |
| status_str | publishedVersion |
| title | Multiagent System for Semantic Categorization of Places Mean the Use of Distributed Surveillance Cameras |
| title_full | Multiagent System for Semantic Categorization of Places Mean the Use of Distributed Surveillance Cameras |
| title_fullStr | Multiagent System for Semantic Categorization of Places Mean the Use of Distributed Surveillance Cameras |
| title_full_unstemmed | Multiagent System for Semantic Categorization of Places Mean the Use of Distributed Surveillance Cameras |
| title_short | Multiagent System for Semantic Categorization of Places Mean the Use of Distributed Surveillance Cameras |
| title_sort | Multiagent System for Semantic Categorization of Places Mean the Use of Distributed Surveillance Cameras |
| topic | Software-Agents Semantic-Categorization Deep-Learning Software-Agents Semantic-Categorization Deep-Learning |
| url | https://link.springer.com/chapter/10.1007/978-3-319-99608-0_64 https://ridda2.utp.ac.pa/handle/123456789/9447 |