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Sensors 2013, 13(6), 7414-7442; doi:10.3390/s130607414
Article

An Intelligent Surveillance Platform for Large Metropolitan Areas with Dense Sensor Deployment

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Received: 22 April 2013; in revised form: 17 May 2013 / Accepted: 22 May 2013 / Published: 7 June 2013
(This article belongs to the Section Physical Sensors)
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Abstract: 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 coverage.
Keywords: smart visual sensors; surveillance; intelligent detection; security smart visual sensors; surveillance; intelligent detection; security
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Fernández, J.; Calavia, L.; Baladrón, C.; Aguiar, J.M.; Carro, B.; Sánchez-Esguevillas, A.; Alonso-López, J.A.; Smilansky, Z. An Intelligent Surveillance Platform for Large Metropolitan Areas with Dense Sensor Deployment. Sensors 2013, 13, 7414-7442.

AMA Style

Fernández J, Calavia L, Baladrón C, Aguiar JM, Carro B, Sánchez-Esguevillas A, Alonso-López JA, Smilansky Z. An Intelligent Surveillance Platform for Large Metropolitan Areas with Dense Sensor Deployment. Sensors. 2013; 13(6):7414-7442.

Chicago/Turabian Style

Fernández, Jorge; Calavia, Lorena; Baladrón, Carlos; Aguiar, Javier M.; Carro, Belén; Sánchez-Esguevillas, Antonio; Alonso-López, Jesus A.; Smilansky, Zeev. 2013. "An Intelligent Surveillance Platform for Large Metropolitan Areas with Dense Sensor Deployment." Sensors 13, no. 6: 7414-7442.



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