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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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Autors principals: Calavia, Lorena, Baladrón, Carlos, Aguiar, Javier M., Carro, Belén, Sánchez-Esguevillas, Antonio
Format: Artigo
Idioma:Inglês
Publicat: Molecular Diversity Preservation International (MDPI) 2012
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC3472835/
https://ncbi.nlm.nih.gov/pubmed/23112607
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s120810407
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