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Information fusion is a key factor for insuring information superiority in various military and civil surveillance systems. Military applications may be found in air defence, force and convoy protection, and combat management systems for naval ships. Coastal and urban surveillance, air traffic control, and Harbour protection address more civil areas. A new aspect in all these applications is the issue...
In this paper we present an application that utilizes a novel two-level fusion architecture to detect and track disease outbreaks across public health system databases. In the first fusion level, collected data is used to detect and track indicative bio-events using latent semantic analysis and unsupervised clustering. In the second fusion level, clusters produced via the first are used to feed dynamic...
The paper addresses the problem of target-tracking in tactical military surveillance operations. More specifically, a closed-loop approach to adapt the sensing and tracking operations is proposed and compared to the conventional open-loop and static approach. The objective is to control and maintain, over a certain volume of interest and by way of clustering and scheduling strategies, the level of...
This paper discusses the application of holonic control paradigm to sensor management in military surveillance operations. Sensor management is described both as part of the data fusion process and as a control problem. The choice of holonic control as the most adequate architecture for sensor management in the military environment is explained and its application to surveillance operations illustrated...
We describe data fusion technology relevant to two applications of potential benefit to the Canadian army. The first application is a local situational awareness system (LSAS) while the second is a versatile surveillance platform. The LSAS improves an armored vehicle crew's ability to recognize and locate threats and hazards without leaving the relative safety of their vehicle. It is designed primarily...
MacDonald Dettwiler is leading a PRECARN partnership project to develop an advanced simulation testbed for the evaluation of the effectiveness of Network Enabled Operations in a coastal large volume surveillance situation. The main focus of this testbed is to study concepts like distributed information fusion, dynamic resources and networks configuration management, and self synchronising units and...
In the context of public place surveillance, the evaluation of available technologies shows that the security bottleneck isn't the surveillance hardware, but rather the real-time analysis and correlation of data provided by various sensors. Also, there is an evident lack of global threat management policy. In this paper, we present an implementation of an event based inference technology called complex...
In this paper, we present the challenges that will be faced in maintaining Arctic domain awareness and the Arctic C4ISR issues that will result from these challenges. We have discussed the characteristics of the legacy client-server system and how it limits the exploitation of all available data. The characteristics of a Service-oriented Architecture that could address some of these issues are presented...
A technique is proposed to extract system requirements for a maritime area surveillance system, based on an activity recognition framework originally intended for the characterisation, prediction and recognition of intentional actions for threat recognition. To illustrate its utility, a single use case is used in conjunction with the framework to solicit surveillance system requirements.
Achieving superior situation awareness is a key task for military, as well as civilian, decision makers. Today, automatic systems provide us with an excellent opportunity for assisting the human decision maker in achieving this awareness. Due to the potential of information overload one important aspect is to understand where to focus attention. Anomaly detection is concerned with finding deviations...
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