An Extended Event Reasoning Framework for Decision Support under Uncertainty

Wenjun Ma, Weiru Liu, Jianbing Ma, Paul Miller

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

4 Citations (Scopus)
187 Downloads (Pure)


To provide in-time reactions to a large volume of surveillance data, uncertainty-enabled event reasoning frameworks for closed-circuit television and sensor based intelligent surveillance system have been integrated to model and infer events of interest. However, most of the existing works do not consider decision making under uncertainty which is important for surveillance operators. In this paper, we extend an event reasoning framework for decision support, which enables our framework to predict, rank and alarm threats from multiple heterogeneous sources.
Original languageEnglish
Title of host publicationInformation Processing and Management of Uncertainty in Knowledge-Based Systems
Subtitle of host publication15th International Conference, IPMU 2014, Montpellier, France, July 15-19, 2014, Proceedings, Part III
EditorsAnne Laurent, Oliver Strauss, Bernadette Bouchon-Meunier, Ronald R Yager
Number of pages10
ISBN (Electronic)9783319088525
ISBN (Print)9783319088518
Publication statusPublished - 14 Jul 2014

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer International Publishing
ISSN (Print)1865-0929


  • Uncertainty reasoning
  • Security
  • Decision support

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