Knowledge and Event-Based System for Video-Surveillance Tasks

Authors:
Rafael Martínez Tomás;Angel Rivas Casado
Affiliations:
Dpto. Inteligencia Artificial. Escuela Técnica Superior de Ingeniería Informática, Universidad Nacional de Educación a Distancia, Madrid, Spain 28040;Dpto. Inteligencia Artificial. Escuela Técnica Superior de Ingeniería Informática, Universidad Nacional de Educación a Distancia, Madrid, Spain 28040
Venue:
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part I: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy
Year:
2009

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Abstract

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.