RT info:eu-repo/semantics/article
T1 An intelligent surveillance platform for large metropolitan areas with dense sensor deployment
A1 Fernández, Jorge
A1 Calavia, Lorena
A1 Baladrón García, Carlos
A1 Aguiar Pérez, Javier Manuel
A1 Carro Martínez, Belén
A1 Sánchez Esguevillas, Antonio Javier
A1 Alonso López, Jesús
A1 Smilansky, Zeev
K1 Smart visual senso
K1 Surveillance
K1 Intelligent detection
K1 Security
AB This paper presents an intelligent surveillance platform based on the usage oflarge numbers of inexpensive sensors designed and developed inside the European EurekaCeltic project HuSIMS. With the aim of maximizing the number of deployable units whilekeeping monetary and resource/bandwidth costs at a minimum, the surveillance platform isbased on the usage of inexpensive visual sensors which apply efficient motion detectionand tracking algorithms to transform the video signal in a set of motion parameters. Inorder to automate the analysis of the myriad of data streams generated by the visualsensors, the platform’s control center includes an alarm detection engine which comprisesthree components applying three different Artificial Intelligence strategies in parallel.These strategies are generic, domain-independent approaches which are able to operate inseveral domains (traffic surveillance, vandalism prevention, perimeter security, etc.). Thearchitecture is completed with a versatile communication network which facilitates datacollection from the visual sensors and alarm and video stream distribution towards theemergency teams. The resulting surveillance system is extremely suitable for itsdeployment in metropolitan areas, smart cities, and large facilities, mainly because cheapvisual sensors and autonomous alarm detection facilitate dense sensor network deploymentsfor wide and detailed covera
PB MDPI
SN 1424-8220
YR 2013
FD 2013
LK https://uvadoc.uva.es/handle/10324/57657
UL https://uvadoc.uva.es/handle/10324/57657
LA eng
NO Sensors, 2013, vol. 13, n. 6, p. 7414-7442
NO Producción Científica
DS UVaDOC
RD 19-abr-2024