Automatic event recognition and anomaly detection with attribute grammar by learning scene semantics

Lin Qi; Zhenyu Yao; Li Li

doi:10.1117/12.752712

15 November 2007 Automatic event recognition and anomaly detection with attribute grammar by learning scene semantics

Lin Qi, Zhenyu Yao, Li Li

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67864Y (2007) https://doi.org/10.1117/12.752712
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

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.

Citation Download Citation

Lin Qi, Zhenyu Yao, and Li Li "Automatic event recognition and anomaly detection with attribute grammar by learning scene semantics", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67864Y (15 November 2007); https://doi.org/10.1117/12.752712

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