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A Semantic Autonomous Video Surveillance System for Dense Camera Networks in Smart Cities
Universidad de Valladolid, Dpto. TSyCeIT, ETSIT, Paseo de Belén 15, Valladolid 47011, Spain
* Author to whom correspondence should be addressed.
Received: 2 May 2012; in revised form: 21 July 2012 / Accepted: 26 July 2012 / Published: 2 August 2012
Abstract: 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.
Keywords: smart sensors; surveillance; semantics; safety and security
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Cite This Article
MDPI and ACS Style
Calavia, L.; Baladrón, C.; Aguiar, J.M.; Carro, B.; Sánchez-Esguevillas, A. A Semantic Autonomous Video Surveillance System for Dense Camera Networks in Smart Cities. Sensors 2012, 12, 10407-10429.
Calavia L, Baladrón C, Aguiar JM, Carro B, Sánchez-Esguevillas A. A Semantic Autonomous Video Surveillance System for Dense Camera Networks in Smart Cities. Sensors. 2012; 12(8):10407-10429.
Calavia, Lorena; Baladrón, Carlos; Aguiar, Javier M.; Carro, Belén; Sánchez-Esguevillas, Antonio. 2012. "A Semantic Autonomous Video Surveillance System for Dense Camera Networks in Smart Cities." Sensors 12, no. 8: 10407-10429.