Automatic event recognition and anomaly detection with attribute grammar by learning scene semantics
2007
In this paper we present a novel framework for automatic event recognition and abnormal behavior detection with
attribute grammar by learning scene semantics. This framework combines learning scene semantics by trajectory
analysis and constructing attribute grammar-based event representation. The scene and event information is learned
automatically. Abnormal behaviors that disobey scene semantics or event grammars rules are detected. By this method,
an approach to understanding video scenes is achieved. Further more, with this prior knowledge, the accuracy of
abnormal event detection is increased.
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