Research Article
Towards a Generic Ontology for Video Surveillance
@INPROCEEDINGS{10.1007/978-3-319-49622-1_1, author={Pablo Hernandez-Leal and Hugo Escalante and L. Sucar}, title={Towards a Generic Ontology for Video Surveillance}, proceedings={Applications for Future Internet. International Summit, AFI 2016, Puebla, Mexico, May 25-28, 2016, Revised Selected Papers}, proceedings_a={AFI360}, year={2017}, month={1}, keywords={Video surveillance Ontology Event recognition}, doi={10.1007/978-3-319-49622-1_1} }- Pablo Hernandez-Leal
Hugo Escalante
L. Sucar
Year: 2017
Towards a Generic Ontology for Video Surveillance
AFI360
Springer
DOI: 10.1007/978-3-319-49622-1_1
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.
