Attribute Grammar-Based Event Recognition and Anomaly Detection
Abstract
We propose to use attribute grammars for recognizing normal events and detecting abnormal events in a video. Attribute grammars can describe constraints on features (attributes) in addition to the syntactic structure of the input. Events are recognized using an extension of the Earley parser that handles attributes and concurrent event threads. Abnormal events are detected when the input does not follow syntax of the grammar or the attributes do not satisfy the constraints in the attribute grammar to some degree. We demonstrate the effectiveness of our method for the task of recognizing normal events and detecting anomalies in a parking lot.
Cite
Text
Joo and Chellappa. "Attribute Grammar-Based Event Recognition and Anomaly Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2006. doi:10.1109/CVPRW.2006.32Markdown
[Joo and Chellappa. "Attribute Grammar-Based Event Recognition and Anomaly Detection." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2006.](https://mlanthology.org/cvprw/2006/joo2006cvprw-attribute/) doi:10.1109/CVPRW.2006.32BibTeX
@inproceedings{joo2006cvprw-attribute,
title = {{Attribute Grammar-Based Event Recognition and Anomaly Detection}},
author = {Joo, Seong-Wook and Chellappa, Rama},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2006},
pages = {107},
doi = {10.1109/CVPRW.2006.32},
url = {https://mlanthology.org/cvprw/2006/joo2006cvprw-attribute/}
}