@inproceedings{da281803766945fa9e2d5810646bb5d2,
title = "Complex event recognition with uncertainty reasoning",
abstract = "The goal of complex event recognition considered in this paper is the automatic detection of complex high-level events in videos. This is a difficult task, especially when videos are captured under unconstrained conditions, with poor lighting, heavy background clutter and occlusion. In this paper, we propose a hierarchical knowledge-based framework for complex event recognition. The video event knowledge represents an arbitrary complex spatio-temporal event as a hierarchical composition of simpler events in a natural way. Uncertainty reasoning procedures are applied to interpret low level event descriptions according to the video knowledge base in order to recognize high level scenarios.",
keywords = "Complex event recognition, Hierarchical approach, Knowledge base, Uncertainty reasoning, Video pattern recognition",
author = "Xueqin Liu and Kathy Clawson and Hui Wang and Bryan Scotney and Jun Liu",
note = "Publisher Copyright: {\textcopyright} 2013 IEEE.; 12th International Conference on Machine Learning and Cybernetics, ICMLC 2013 ; Conference date: 14-07-2013 Through 17-07-2013",
year = "2014",
month = sep,
day = "8",
doi = "10.1109/ICMLC.2013.6890893",
language = "English",
series = "Proceedings - International Conference on Machine Learning and Cybernetics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1823--1828",
booktitle = "Proceedings - International Conference on Machine Learning and Cybernetics",
address = "United States",
}