Human behavior ontologies: Surveillance task
The video sequences analysis is very important topic at the time of using this strategy for surveillance at security places. The problem consist in understand any success in real life saved in a video camera. This process for person recognition, objects, vehicles, danger places, alarms, etc, is the...
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| Other Authors: | , , |
| Format: | article |
| Language: | eng |
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2018
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| Online Access: | https://ieeexplore.ieee.org/document/8399375 https://hdl.handle.net/20.500.14809/3458 |
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| author | Arias, Susana |
| author2 | Castillo, David Eduardo-Martínez, Carlos Aguirre, Luz |
| author2_role | author author author |
| author_facet | Arias, Susana Castillo, David Eduardo-Martínez, Carlos Aguirre, Luz |
| author_role | author |
| collection | Repositorio Universidad Tecnológica Indoamérica |
| dc.creator.none.fl_str_mv | Arias, Susana Castillo, David Eduardo-Martínez, Carlos Aguirre, Luz |
| dc.date.none.fl_str_mv | 2018 2022-06-30T20:50:10Z 2022-06-30T20:50:10Z |
| dc.identifier.none.fl_str_mv | https://ieeexplore.ieee.org/document/8399375 https://hdl.handle.net/20.500.14809/3458 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Iberian Conference on Information Systems and Technologies, CISTI. Volume 2018-June, Pages 1 - 9 |
| dc.rights.none.fl_str_mv | https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:Repositorio Universidad Tecnológica Indoamérica instname:Universidad Tecnológica Indoamérica instacron:UTI |
| dc.title.none.fl_str_mv | Human behavior ontologies: Surveillance task |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | The video sequences analysis is very important topic at the time of using this strategy for surveillance at security places. The problem consist in understand any success in real life saved in a video camera. This process for person recognition, objects, vehicles, danger places, alarms, etc, is the principal goal of this work. The propose is to use ontologies to classify events in recorded videos; for example, people in one place, vehicles in the security zone, etc; generating rules to know what does this event do and trigger this rules at the right time. For this solution we used the relationship between Protégé and Jade generating the agents that use the natural language for the alarms and actions described in the events analysis. The first test was realized in the office with excellent results. © 2018 AISTI. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | UTI_9bcdf4b6981da2ea606df23710283faa |
| instacron_str | UTI |
| institution | UTI |
| instname_str | Universidad Tecnológica Indoamérica |
| language | eng |
| network_acronym_str | UTI |
| network_name_str | Repositorio Universidad Tecnológica Indoamérica |
| oai_identifier_str | oai:repositorio.uti.edu.ec:20.500.14809/3458 |
| publishDate | 2018 |
| publisher.none.fl_str_mv | Iberian Conference on Information Systems and Technologies, CISTI. Volume 2018-June, Pages 1 - 9 |
| reponame_str | Repositorio Universidad Tecnológica Indoamérica |
| repository.mail.fl_str_mv | . |
| repository.name.fl_str_mv | Repositorio Universidad Tecnológica Indoamérica - Universidad Tecnológica Indoamérica |
| repository_id_str | 0 |
| rights_invalid_str_mv | https://creativecommons.org/licenses/by/4.0/ |
| spelling | Human behavior ontologies: Surveillance taskArias, SusanaCastillo, DavidEduardo-Martínez, CarlosAguirre, LuzThe video sequences analysis is very important topic at the time of using this strategy for surveillance at security places. The problem consist in understand any success in real life saved in a video camera. This process for person recognition, objects, vehicles, danger places, alarms, etc, is the principal goal of this work. The propose is to use ontologies to classify events in recorded videos; for example, people in one place, vehicles in the security zone, etc; generating rules to know what does this event do and trigger this rules at the right time. For this solution we used the relationship between Protégé and Jade generating the agents that use the natural language for the alarms and actions described in the events analysis. The first test was realized in the office with excellent results. © 2018 AISTI.Iberian Conference on Information Systems and Technologies, CISTI. Volume 2018-June, Pages 1 - 92022-06-30T20:50:10Z2022-06-30T20:50:10Z2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://ieeexplore.ieee.org/document/8399375https://hdl.handle.net/20.500.14809/3458enghttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessreponame:Repositorio Universidad Tecnológica Indoaméricainstname:Universidad Tecnológica Indoaméricainstacron:UTI2022-07-09T16:22:00Zoai:repositorio.uti.edu.ec:20.500.14809/3458Institucionalhttps://repositorio.uti.edu.ec/Institución privadahttps://indoamerica.edu.ec/https://repositorio.uti.edu.ec/oai.Ecuador...opendoar:02022-07-09T16:22Repositorio Universidad Tecnológica Indoamérica - Universidad Tecnológica Indoaméricafalse |
| spellingShingle | Human behavior ontologies: Surveillance task Arias, Susana |
| status_str | publishedVersion |
| title | Human behavior ontologies: Surveillance task |
| title_full | Human behavior ontologies: Surveillance task |
| title_fullStr | Human behavior ontologies: Surveillance task |
| title_full_unstemmed | Human behavior ontologies: Surveillance task |
| title_short | Human behavior ontologies: Surveillance task |
| title_sort | Human behavior ontologies: Surveillance task |
| url | https://ieeexplore.ieee.org/document/8399375 https://hdl.handle.net/20.500.14809/3458 |