Abstract
Video surveillance is an important problem that has been studied for several years. Nowadays, in the context of smart cities, intelligent video surveillance is an important topic which has several subproblems which need to be solved and then integrated. For example, on one side there are several algorithms for detection, recognition and tracking of objects and people. On the other side, it is necessary to recognize not only objects and persons but complex behaviors (fights, thefts, attacks). To solve these challenges, the use of ontologies has been proposed as a tool to reduce this gap between low and high level information. In this work, we present the foundations of an ontology to be used in an intelligent video surveillance system.
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Hernandez-Leal, P., Escalante, H.J., Sucar, L.E. (2017). Towards a Generic Ontology for Video Surveillance. In: Sucar, E., Mayora, O., Munoz de Cote, E. (eds) Applications for Future Internet. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 179. Springer, Cham. https://doi.org/10.1007/978-3-319-49622-1_1
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DOI: https://doi.org/10.1007/978-3-319-49622-1_1
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