Next Article in Journal
Next Article in Special Issue
Previous Article in Journal
Previous Article in Special Issue
Sensors 2012, 12(8), 10407-10429; doi:10.3390/s120810407
Article

A Semantic Autonomous Video Surveillance System for Dense Camera Networks in Smart Cities

* ,
,
,
 and
Received: 2 May 2012; in revised form: 21 July 2012 / Accepted: 26 July 2012 / Published: 2 August 2012
View Full-Text   |   Download PDF [1030 KB, uploaded 21 June 2014]
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 smart sensors; surveillance; semantics; safety and 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.

Export to BibTeX |
EndNote


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.

AMA Style

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.

Chicago/Turabian Style

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.



Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert