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

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 sy...

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Detalles Bibliográficos
Autores principales:	Calavia, Lorena, Baladrón, Carlos, Aguiar, Javier M., Carro, Belén, Sánchez-Esguevillas, Antonio
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Molecular Diversity Preservation International (MDPI) 2012
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3472835/ https://www.ncbi.nlm.nih.gov/pubmed/23112607 http://dx.doi.org/10.3390/s120810407

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