Ponencia
Vision and Crowdsensing Technology for an Optimal Response in Security: Project results
Autor/es | Álvarez García, Juan Antonio
Salazar González, Jose Luis Deniz Suárez, Óscar Ruiz Santaquiteria Alegre, Jesús |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2021 |
Fecha de depósito | 2022-07-06 |
Publicado en |
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ISBN/ISSN | 978-1-6654-4505-4 |
Resumen | This paper describes the progress and work carried
out during the execution of the VICTORY project (Vision and
Crowdsensing Technology for an Optimal Response in Security).
It describes both its motivation and the ... This paper describes the progress and work carried out during the execution of the VICTORY project (Vision and Crowdsensing Technology for an Optimal Response in Security). It describes both its motivation and the progress made in the field of managing violent attacks in buildings. It is assumed that these buildings have a WiFi infrastructure that allows indoor localisation through mobile applications and a closed-circuit television system that allows real-time images to be captured. The advances of this project have allowed 1) the design of a crowdsensing application that allows indoor localisation in a reliable way and with a low battery consumption as well as the detection of stampedes and falls; 2) the development of a multi-agent model that simulates human behaviour in the face of a violent attack and 3) new approaches to improve the state of the art in computer vision for the detection of weapons |
Agencias financiadoras | Ministerio de Economía y Competitividad (MINECO). España |
Identificador del proyecto | TIN2017-82113 |
Cita | Álvarez García, J.A., Salazar González, J.L., Deniz Suárez, Ó. y Ruiz Santaquiteria Alegre, J. (2021). Vision and Crowdsensing Technology for an Optimal Response in Security: Project results. En MeditCom 2021: IEEE International Mediterranean Conference on Communications and Networking (82-87), Athens, Greece: IEEE Computer Society. |
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