Generic Video Surveillance Description Ontology

In this study, we present an automatic generic ontology for video surveillance description, to be used as a highlevel layer in video-surveillance systems. We considered the temporal dimension of the video, using appropriate features and classification methods. Our ontology introduces six main classes; one of which is a representation for generic scene types, divided into twelve subtypes according to the number of moving objects before and after the interaction. This ontology was used to fulfill an automatic textual description of video surveillance, focusing mainly on interactions between objects. Keywords— Ontology, Video surveillance, Automatic video description, Video objects interaction, Scene type.

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