A flexible human detection service suitable for Intelligent Spaces based on a multi-camera network
The research field of the Intelligent Spaces has experienced increasing attention in the last decade. As an instance of the ubiquitous computing paradigm, the general idea is to extract information from the ambient and use it to interact and provide services to the actors present in the environment....
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-03-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147718763550 |
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| _version_ | 1850229864764801024 |
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| author | Douglas Almonfrey Alexandre Pereira do Carmo Felippe Mendonça de Queiroz Rodolfo Picoreti Raquel Frizera Vassallo Evandro Ottoni Teatini Salles |
| author_facet | Douglas Almonfrey Alexandre Pereira do Carmo Felippe Mendonça de Queiroz Rodolfo Picoreti Raquel Frizera Vassallo Evandro Ottoni Teatini Salles |
| author_sort | Douglas Almonfrey |
| collection | DOAJ |
| description | The research field of the Intelligent Spaces has experienced increasing attention in the last decade. As an instance of the ubiquitous computing paradigm, the general idea is to extract information from the ambient and use it to interact and provide services to the actors present in the environment. The sensory analysis is mandatory in this area and humans are usually the principal actors involved. In this sense, we propose a human detector to be used in an Intelligent Space based on a multi-camera network. Our human detector is implemented in the same paradigm of our Intelligent Space. As a contribution of the present work, the human detector is designed to be a service that is scalable, reliable and parallelizable. It is also a concern of our service to be flexible, less structured as possible, attending different Intelligent Space applications and services, as well as their requirements. As it can be found in different everyday environments, a multi-camera system is used to overcome some difficulties traditionally faced by existing human detection approaches. To validate our approach, we implement three different applications that are proof of concept of many day-to-day real tasks. Two of these applications involve human–robot interaction. With respect to time and detection performance requirements, our human detection service has proved to be suitable for interacting with the other services of our Intelligent Space, in order to successfully complete the tasks of each application. |
| format | Article |
| id | doaj-art-1ee8fd31d6264c7fac8a24f416973d3a |
| institution | OA Journals |
| issn | 1550-1477 |
| language | English |
| publishDate | 2018-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-1ee8fd31d6264c7fac8a24f416973d3a2025-08-20T02:04:02ZengWileyInternational Journal of Distributed Sensor Networks1550-14772018-03-011410.1177/1550147718763550A flexible human detection service suitable for Intelligent Spaces based on a multi-camera networkDouglas Almonfrey0Alexandre Pereira do Carmo1Felippe Mendonça de Queiroz2Rodolfo Picoreti3Raquel Frizera Vassallo4Evandro Ottoni Teatini Salles5Instituto Federal do Espírito Santo, Vitória, BrasilInstituto Federal do Espírito Santo, Vitória, BrasilUniversidade Federal do Espírito Santo, Vitória, BrasilUniversidade Federal do Espírito Santo, Vitória, BrasilUniversidade Federal do Espírito Santo, Vitória, BrasilUniversidade Federal do Espírito Santo, Vitória, BrasilThe research field of the Intelligent Spaces has experienced increasing attention in the last decade. As an instance of the ubiquitous computing paradigm, the general idea is to extract information from the ambient and use it to interact and provide services to the actors present in the environment. The sensory analysis is mandatory in this area and humans are usually the principal actors involved. In this sense, we propose a human detector to be used in an Intelligent Space based on a multi-camera network. Our human detector is implemented in the same paradigm of our Intelligent Space. As a contribution of the present work, the human detector is designed to be a service that is scalable, reliable and parallelizable. It is also a concern of our service to be flexible, less structured as possible, attending different Intelligent Space applications and services, as well as their requirements. As it can be found in different everyday environments, a multi-camera system is used to overcome some difficulties traditionally faced by existing human detection approaches. To validate our approach, we implement three different applications that are proof of concept of many day-to-day real tasks. Two of these applications involve human–robot interaction. With respect to time and detection performance requirements, our human detection service has proved to be suitable for interacting with the other services of our Intelligent Space, in order to successfully complete the tasks of each application.https://doi.org/10.1177/1550147718763550 |
| spellingShingle | Douglas Almonfrey Alexandre Pereira do Carmo Felippe Mendonça de Queiroz Rodolfo Picoreti Raquel Frizera Vassallo Evandro Ottoni Teatini Salles A flexible human detection service suitable for Intelligent Spaces based on a multi-camera network International Journal of Distributed Sensor Networks |
| title | A flexible human detection service suitable for Intelligent Spaces based on a multi-camera network |
| title_full | A flexible human detection service suitable for Intelligent Spaces based on a multi-camera network |
| title_fullStr | A flexible human detection service suitable for Intelligent Spaces based on a multi-camera network |
| title_full_unstemmed | A flexible human detection service suitable for Intelligent Spaces based on a multi-camera network |
| title_short | A flexible human detection service suitable for Intelligent Spaces based on a multi-camera network |
| title_sort | flexible human detection service suitable for intelligent spaces based on a multi camera network |
| url | https://doi.org/10.1177/1550147718763550 |
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