title: A semantic autonomous video surveillance system for dense camera networks in Smart Cities.
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.
authors.affiliation: Universidad de Valladolid, Dpto. TSyCeIT, ETSIT, Paseo de Belén 15, Valladolid 47011, Spain. lcaldom@ribera.tel.uva.es
authors.forename: Lorena
authors.initials: L
authors.lastname: Calavia
authors.forename: Carlos
authors.initials: C
authors.lastname: Baladrón
authors.forename: Javier M
authors.initials: JM
authors.lastname: Aguiar
authors.forename: Belén
authors.initials: B
authors.lastname: Carro
authors.forename: Antonio
authors.initials: A
authors.lastname: Sánchez-Esguevillas
mesh_terms: D001185:Artificial Intelligence; D002947:Cities; D006802:Human Activities / Q000145:classification; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D009068:Movement; D010363:Pattern Recognition, Automated / Q000379:methods*; D012660:Semantics; D014741:Video Recording / Q000379:methods*
keywords: safety and security; semantics; smart sensors; surveillance