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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may(More)
The recent interest in the surveillance of public, military, and commercial scenarios is increasing the need to develop and deploy intelligent and/or automated distributed visual surveillance systems. Many applications based on distributed resources use the so-called software agent technology. In this paper, a multi-agent framework is applied to coordinate(More)
This paper presents an application of software agents in a specific engineering problem: multitarget surveillance with several cameras sensing a closed environment. Each agent controls a camera , and from the coordination of them will emerge an improvement of the global surveillance task. Agents emulate human camera operators and, therefore human-like(More)
Maritime surveillance involves gathering and integrating a large amount of heterogeneous information of variable quality to provide diverse decision makers with reliable knowledge about situations and threats. This requires information processing at all fusion levels while taking into account contextual information. Context is especially important for(More)
Contextual Information is proving to be not only an additional exploitable information source for improving entity and situational estimates in certain Information Fusion systems, but can also be the entire focus of estimation for such systems as those directed to Ambient Intelligence (AI) and Context-Aware(CA) applications. This paper will discuss the(More)
This paper presents the design and evaluation of a sensor fusion system for maritime surveillance. The system must exploit the complementary AIS-radar sensing technologies to synthesize a reliable surveillance picture using a highly efficient implementation to operate in dense scenarios. The paper highlights the realistic effects taken into account for(More)
—In this work we put forward a comprehensive study on the design of global stopping criteria for multi– objective optimization. We describe a novel stopping criterion, denominated MGBM criterion that combines the mutual domination rate (MDR) improvement indicator with a simplified Kalman filter that is used for evidence gathering process. The MDR indicator,(More)
A video aircraft identification algorithm, based on the tail number recognition, is proposed as a part of a global airport surveillance video system. The recognition procedure searches and detects the presence of the tail number in the image and then recognises the tail number using pattern matching techniques. The identification system has been designed to(More)