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oai:uvadoc.uva.es:10324/576572025-02-13T09:17:28Zcom_10324_1191com_10324_931com_10324_894col_10324_1379

Fernández, Jorge Calavia, Lorena Baladrón García, Carlos Aguiar Pérez, Javier Manuel Carro Martínez, Belén Sánchez Esguevillas, Antonio Javier Alonso López, Jesús Smilansky, Zeev 2013 Producción Científica This paper presents an intelligent surveillance platform based on the usage of large numbers of inexpensive sensors designed and developed inside the European Eureka Celtic project HuSIMS. With the aim of maximizing the number of deployable units while keeping monetary and resource/bandwidth costs at a minimum, the surveillance platform is based on the usage of inexpensive visual sensors which apply efficient motion detection and tracking algorithms to transform the video signal in a set of motion parameters. In order to automate the analysis of the myriad of data streams generated by the visual sensors, the platform’s control center includes an alarm detection engine which comprises three components applying three different Artificial Intelligence strategies in parallel. These strategies are generic, domain-independent approaches which are able to operate in several domains (traffic surveillance, vandalism prevention, perimeter security, etc.). The architecture is completed with a versatile communication network which facilitates data collection from the visual sensors and alarm and video stream distribution towards the emergency teams. The resulting surveillance system is extremely suitable for its deployment in metropolitan areas, smart cities, and large facilities, mainly because cheap visual sensors and autonomous alarm detection facilitate dense sensor network deployments for wide and detailed covera application/pdf https://uvadoc.uva.es/handle/10324/57657 eng MDPI An intelligent surveillance platform for large metropolitan areas with dense sensor deployment info:eu-repo/semantics/article TEXT UVaDOC. Repositorio Documental de la Universidad de Valladolid Hispana