2026-04-28T01:57:35Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/576572025-02-13T09:17:28Zcom_10324_1191com_10324_931com_10324_894col_10324_1379
An intelligent surveillance platform for large metropolitan areas with dense sensor deployment
Fernández, Jorge
Calavia, Lorena
Baladrón García, Carlos
Aguiar Pérez, Javier Manuel
Carro Martínez, Belén
Sánchez Esguevillas, Antonio Javier
Alonso López, Jesús
Smilansky, Zeev
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
2022-12-02T13:57:44Z
2022-12-02T13:57:44Z
2022-12-02T13:57:44Z
2013
info:eu-repo/semantics/article
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
eng
https://www.mdpi.com/1424-8220/13/6/7414
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/3.0/
© 2013 The Author(s)
Attribution 3.0 Unported
MDPI