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Título
A semantic autonomous video surveillance system for dense camera networks in smart cities
Autor
Año del Documento
2012
Editorial
MDPI
Descripción
Producción Científica
Documento Fuente
Sensors, 2012, vol. 12, n. 8, p. 10407-10429
Résumé
This paper presents a proposal of an intelligent video surveillance system able to
detect and identify abnormal and alarming situations by analyzing object movement. The
system is designed to minimize video processing and transmission, thus allowing a large
number of cameras to be deployed on the system, and therefore making it suitable for its
usage as an integrated safety and security solution in Smart Cities. Alarm detection is
performed on the basis of parameters of the moving objects and their trajectories, and is
performed using semantic reasoning and ontologies. This means that the system employs a
high-level conceptual language easy to understand for human operators, capable of raising
enriched alarms with descriptions of what is happening on the image, and to automate
reactions to them such as alerting the appropriate emergency services using the Smart City
safety network.
Materias Unesco
33 Ciencias Tecnológicas
Palabras Clave
Smart sensors
Surveillance
Semantics
Safety and security
ISSN
1424-8220
Revisión por pares
SI
Version del Editor
Propietario de los Derechos
© 2012 The Author(s)
Idioma
eng
Tipo de versión
info:eu-repo/semantics/publishedVersion
Derechos
openAccess
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