Video event modelling and association rule mining in multimedia surveillance systems

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Abstract

Event representation models provide a framework in which we can reason about events so as to interpret the collective behaviour of objects over time and space domains. Many are context-specific and lack flexibility when faced with unstructured video. This paper proposes a comprehensive event modelling framework for multimedia surveillance systems. An event detection model incorporates multimedia strings and a new predicate set for describing more complex event scenarios. Event classification performance is evaluated on benchmarked datasets.

Keyword(s)

Multimedia event modelling; association rule mining; event detection; video surveillance

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