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00925njm 22002777a 4500 dc Fernández, Jorge author Calavia, Lorena author Baladrón García, Carlos author Aguiar Pérez, Javier Manuel author Carro Martínez, Belén author Sánchez Esguevillas, Antonio Javier author Alonso López, Jesús author Smilansky, Zeev author 2013 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 Sensors, 2013, vol. 13, n. 6, p. 7414-7442 1424-8220 https://uvadoc.uva.es/handle/10324/57657 10.3390/s130607414 7414 6 7442 Sensors 13 1424-8220 An intelligent surveillance platform for large metropolitan areas with dense sensor deployment