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

4 Citations (Scopus)

Abstract

To provide in-time reactions to a large volume of surveil- lance data, uncertainty-enabled event reasoning frameworks for CCTV 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
Place of Publication15th International Conference, IPMU 2014, Montpellier, France, July 15-19, 2014, Proceedings, Part III
PublisherSpringer
Pages335-344
Number of pages10
ISBN (Print)978-3-319-08851-8
DOIs
Publication statusPublished - 2014

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer
Volume444

Keywords

  • Uncertainty reasoning
  • Security
  • Decision support

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  • Cite this

    Ma, W., Liu, W., Ma, J., & Miller, P. (2014). An Extended Event Reasoning Framework for Decision Support under Uncertainty. In Information Processing and Management of Uncertainty in Knowledge-Based Systems: 15th International Conference, IPMU 2014, Montpellier, France, July 15-19, 2014, Proceedings, Part III (pp. 335-344). (Communications in Computer and Information Science; Vol. 444). Springer. https://doi.org/10.1007/978-3-319-08852-5_35