RT info:eu-repo/semantics/article
T1 A semantic autonomous video surveillance system for dense camera networks in smart cities
A1 Calavia, Lorena
A1 Baladrón García, Carlos
A1 Aguiar Pérez, Javier Manuel
A1 Carro Martínez, Belén
A1 Sánchez Esguevillas, Antonio Javier
K1 Smart sensors
K1 Surveillance
K1 Semantics
K1 Safety and security
K1 33 Ciencias Tecnológicas
AB This paper presents a proposal of an intelligent video surveillance system able todetect and identify abnormal and alarming situations by analyzing object movement. Thesystem is designed to minimize video processing and transmission, thus allowing a largenumber of cameras to be deployed on the system, and therefore making it suitable for itsusage as an integrated safety and security solution in Smart Cities. Alarm detection isperformed on the basis of parameters of the moving objects and their trajectories, and isperformed using semantic reasoning and ontologies. This means that the system employs ahigh-level conceptual language easy to understand for human operators, capable of raisingenriched alarms with descriptions of what is happening on the image, and to automatereactions to them such as alerting the appropriate emergency services using the Smart Citysafety network.
PB MDPI
SN 1424-8220
YR 2012
FD 2012
LK https://uvadoc.uva.es/handle/10324/57645
UL https://uvadoc.uva.es/handle/10324/57645
LA eng
NO Sensors, 2012, vol. 12, n. 8, p. 10407-10429
NO Producción Científica
DS UVaDOC
RD 07-ago-2024