A Dempster-Shafer theory and uninorm-based framework of reasoning and multiattribute decision-making for surveillance system
A Dempster-Shafer theory and uninorm-based framework of reasoning and multiattribute decision-making for surveillance system
复制标题
用于监视系统的 Dempster-Shafer 理论和基于单宁的推理和多属性决策框架
DOI：
10.1002/int.22175
复制
发表时间：
2019
影响因子：
7
通讯作者：
Jianbing Ma
中科院分区：
文献类型：
--
作者：
Wenjun Ma;Weiru Liu;Xudong Luo;Kevin McAreavey;Yuncheng Jiang;Jianbing Ma
闭路电视和基于传感器的智能监控系统在公安领域引起了广泛的关注。为了在海量监视数据的情况下提供实时反应，研究人员提出了事件推理框架来建模和推断感兴趣的事件。然而，它们不支持决策，这对监控运营商来说非常重要。为此，本文在事件推理框架中加入了决策功能，使得该模型不仅可以进行事件推理，而且可以根据来自多个异构源的不确定信息对威胁进行预测、排序和报警。特别地，我们提出了一个多属性决策模型，其中被监视对象被建模为一个多属性事件，其中每个属性对应于一个特定的源，并且来自每个源的信息可以被用来得出不同恶意情况相对于相应属性的局部威胁程度。此外，为了评估被观测对象的整体威胁程度，我们还提出了一种融合所有相关属性的冲突威胁程度的方法。最后，我们通过一个机场安全监控场景展示了我们的框架的有效性。
Closed-circuit television and sensor-based intelligent surveillance systems have attracted considerable attentions in the field of public security affairs. To provide real-time reaction in the case of a huge volume of the surveillance data, researchers have proposed event-reasoning frameworks for modeling and inferring events of interest. However, they do not support decision-making, which is very important for surveillance operators. To this end, this paper incorporate a function of decision-making in an event-reasoning framework, so that our model not only can perform event-reasoning but also can predict, rank, and alarm threats according to uncertain information from multiple heterogeneous sources. In particular, we propose a multiattribute decision-making model, in which an object being watched is modeled as a multiattribute event, where each attribute corresponds to a specific source, and the information from each source can be used to elicit a local threat degree of different malicious situations with respect to the corresponding attribute. Moreover, to assess an overall threat degree of an object being observed, we also propose a method to fuse the conflict threat degrees regarding all the relevant attributes. Finally, we demonstrate the effectiveness of our framework by an airport security surveillance scenario.