Projects per year
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.
|Title of host publication||Information Processing and Management of Uncertainty in Knowledge-Based Systems|
|Subtitle of host publication||15th International Conference, IPMU 2014, Montpellier, France, July 15-19, 2014, Proceedings, Part III|
|Place of Publication||15th International Conference, IPMU 2014, Montpellier, France, July 15-19, 2014, Proceedings, Part III|
|Number of pages||10|
|Publication status||Published - 2014|
|Name||Communications in Computer and Information Science|
- Uncertainty reasoning
- Decision support
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01/08/2011 → …