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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Knowledge and Event-Based System for Video-Surveillance Tasks
verfasst von : Rafael Martínez Tomás, Angel Rivas Casado
Erschienen in: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira’s Scientific Legacy
Verlag: Springer Berlin Heidelberg
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This work describes an event-based system supported by knowledge to compose high-level abstraction events from intermediate agent events. The agents are in a level that interprets multi-sensory signals according to the scenario ontology, particularly, from video-sequence identification and monitoring. The target task is surveillance understood in its entirety from the identification of pre-alarm signals to planned action. The work describes the system architecture for surveillance based on this composition knowledge, how the knowledge base is organised, tools for its management and examples of event inference/composition characterising a scene situation.