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Reports generated by soldiers are common in time-critical military environments. Data fusion systems that attempt to process those reports must maintain the context for each set of observations to avoid inaccurate state estimates. This paper analyzes the selection and assignment of topical context under a Bayesian methodology. We present several techniques to decrease the hypothesis space and heuristics...
This paper presents comparative results of a model for multiple camera fusion, which is based on Dezert-Smarandache theory of evidence. Our architecture works at the decision level to track objects on a ground plane using predefined zones, producing useful information for surveillance tasks such as behavior recognition. Decisions from cameras are generated by applying a perspective-based basic belief...
Dempster rule of combination is an effective method in evidence reasoning; however, the original combination rule may produce counterintuitive results when there are severe conflicts among evidences due to the discarding of contradictory mass assignments. In this paper a modified combination rule is proposed based on ambiguity measure (AM), which can describe the evidencepsilas degree of uncertainty...
In recent years the discrepancy between the required knowledge and the available knowledge for obtaining the situation awareness aboard Royal Netherlands Navy ships has increased. This paper presents a methodology to automatically classify objects in the mission environment based on user defined mission information in order to close this gap. The cornerstone of this methodology is the Confidence Interval...
Ground target surveillance is getting a more and more important task, for civil as for military applications. Ground targets may be bound to infrastructural constraints, like vehicles moving on roads. Therefore, incorporating road map information into the tracking process is a current topic of research. This paper presents a tracking algorithm, which considers road map information. The algorithm supports...
Bayesian networks are often proposed as a method for high-level information fusion. However, a Bayesian network relies on strong assumptions about the underlying probabilities. In many cases it is not realistic to require such precise probability assessments. We show that there exists a significant set of problems where credal networks outperform Bayesian networks, thus enabling more dependable decision...
The paper presents two methods of updating the weights of a Gaussian mixture to account for the density propagation within a data assimilation setting. The evolution of the first two moments of the Gaussian components is given by the linearized model of the system. When observations are available, both the moments and the weights are updated to obtain a better approximation to the a posteriori probability...
Identification of tracked objects is a key capability of automated surveillance and information systems for air, surface and subsurface (maritime), and ground environments, improving situational awareness and offering decision support to operational users. The Bayesian-based identification data combining process (IDCP) provides an effective instrument for fusion of uncertain identity indications from...
Having a correct and timely classification solution for objects has become increasingly important as well as increasingly difficult to obtain in new maritime military missions; a decision support system is therefore needed. In decision support systems a challenge lies in how operator and system belief can be reconciled. This paper presents a support system for the classification process using dezert-smarandache...
Sensor fusion using heterogeneous intrusion detection systems are employed to aggregate different views of the same event in order to improve the detection through detector reinforcement or complementarity. The fusion technique proposed in this paper is expected to combine the intrusion detection system outputs with subjective judgements. In this paper, a new evidence model which is an extension and...
This paper introduces a generic architecture for the fusion of perceptual processes and its application in real-time object tracking. In this architecture, the well known anchoring approach is, by integrating techniques from information fusion, extended to multi-modal anchoring so as to be applicable in a multi-process environment. The system architecture is designed to be applicable in a generic...
Tracking algorithms are often designed around optimistic assumptions on uncertainty model. Handling with conflicting data, however, requires specific strategies, that consider quality of information sources. To improve performance of tracking systems, the use of reliability, as evaluation of quality of data sources, has been proved to be a promising technique. In this paper we show how to use reliability...
This paper briefly introduces several of the aspects to take into account in order to properly describe and analyze the expression of uncertainty in textual data. Different types of ambiguity inherent to the nature of language itself are presented. Linguistic ambiguities can be observed between symbols and the meanings arbitrarily attached to them. Many natural language processing techniques can be...
Todaypsilas military and humanitarian operations involve multiple partners and agencies and rely on information culled from a variety of different sources, including humans, sensors, robots, etc. Efficient, timely exchange and evaluation of information is required for effective operations. However, the sheer volume of information prohibits integration of incoming information for the situation awareness...
To cope with asymmetric threats in an increasingly network centric environment, todaypsilas command support systems must interoperate with a diverse collection of other systems. As a natural consequence, the focus is changing from data fusion to knowledge fusion. This new reality creates the need for advanced techniques that exploit not only the syntactic structure of knowledge bases, but also the...
Passive geolocaton of communication emitters provides great benefits to military and civilian surveillance and security operations. Time Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA) measurement combination for stationary emitters may be obtained by sensors mounted on mobile platforms, for example on a pair of UAVs. Complex Ambiguity Function (CAF) of received complex signals...
In target tracking, standard sensors as radar and EO/IR observe the target with a negligible delay, since the speed of light is much larger than the speed of the target. This contribution studies the case where the ratio of the target and the propagation speed is not negligible, as is the case in sensor networks with microphones, geophones or sonars for instance, where the speed of air, ground waves...
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