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检索条件"任意字段=Multisensor, Multisource Information Fusion: Architecture, Algorithms, and Applications 2005"

共 73 条记录，以下是21-30 订阅

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Multi-Layered Context Impact Modulation for Enhanced Focus of Attention of Situational Awareness in Persistent Surveillance Systems

Multi-Layered Context Impact Modulation for Enhanced Focus o...

引用

Conference on multisensor, multisource information fusion - architectures, algorithms and applications 2010

作者： Shirkhodaie, Amir Rababaah, Haroun Tennessee State Univ Dept Mech & Mfg Engn Ctr Excellence Battlefield Sensor Fus Nashville TN 37209 USA

ISBN: (纸本)9780819481740

This paper presents a Multi-Layered Context Impact Modulation (MCIM) technique for persistent surveillance systems (PSS) and discusses its layered architecture for different context modulations including: spatial, temporal, sensor reliability, human presence, and environmental modulations. This paper also presents a fusion model for enhancement of focus of attention at the common operation picture (COP). The fusion model combines all the impacts from the different MCIM layers onto one unified modulated map. To test and evaluate the performance of MCIM, several experiments were conducted to modulate interaction of humans and vehicles which exhibit various normal and suspicious behaviors. The experimental results show strength of this approach in correctly modulating different suspicious situations with higher degree of certainty.

关键词： Persistent Surveillance Systems Situation Assessment Context Impact Layered Modulation Energy Logic fusion Engine Large-scale Sensor Networks Soft fusion

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Integrating perception and problem solving to predict complex object behaviours

Integrating perception and problem solving to predict comple...

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Conference on multisensor, multisource information fusion - architectures, algorithms and applications 2010

作者： Lyons, Damian M. Chaudhry, Sirhan Agica, Marius Monaco, John Vincent Fordham Univ Robot & Comp Lab Bronx NY 10458 USA Pace Univ Dept Comp Sci New York NY 10023 USA

ISBN: (纸本)9780819481740

One of the objectives of Cognitive Robotics is to construct robot systems that can be directed to achieve real-world goals by high-level directions rather than complex, low-level robot programming. Such a system must have the ability to represent, problem-solve and learn about its environment as well as communicate with other agents. In previous work, we have proposed ADAPT, a Cognitive architecture that views perception as top-down and goal-oriented and part of the problem solving process. Our approach is linked to a SOAR-based problem-solving and learning framework. In this paper, we present an architecture for the perceptive and world modelling components of ADAPT and report on experimental results using this architecture to predict complex object behaviour. A novel aspect of our approach is a 'mirror system' that ensures that the modelled background and foreground objects are synchronized with observations and task-based expectations. This is based on our prior work on comparing real and synthetic images. We show results for a moving object that collides and rebounds from its environment, hence showing that this perception-based problem solving approach has the potential to be used to predict complex object motions.

关键词： cognitive robotics problem-solving simulation computer vision sensory fusion

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Data fusion and Classification Using a Hybrid Intrinsic Cellular Inference Network

Data Fusion and Classification Using a Hybrid Intrinsic Cell...

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Conference on multisensor, multisource information fusion - architectures, algorithms and applications 2010

作者： Woodley, Robert Walenz, Brett Seiffertt, John Robinette, Paul Wunsch, Donald 21st Century Syst Inc 199 E 4th St Ft Leonard Wood MO 65473 USA 21st Century Syst Inc Omaha NE 68106 USA Missouri Univ Sci & Technol Rolla MO 65409 USA

ISBN: (纸本)9780819481740

Hybrid Intrinsic Cellular Inference Network (HICIN) is designed for battlespace decision support applications. We developed an automatic method of generating hypotheses for an entity-attribute classifier. The capability and effectiveness of a domain specific ontology was used to generate automatic categories for data classification. Heterogeneous data is clustered using an Adaptive Resonance Theory (ART) inference engine on a sample (unclassified) data set. The data set is the Lahman baseball database. The actual data is immaterial to the architecture, however, parallels in the data can be easily drawn (i.e., "Team" maps to organization, "Runs scored/allowed" to Measure of organization performance (positive/negative), "Payroll" to organization resources, etc.). Results show that HICIN classifiers create known inferences from the heterogonous data. These inferences are not explicitly stated in the ontological description of the domain and are strictly data driven. HICIN uses data uncertainty handling to reduce errors in the classification. The uncertainty handling is based on subjective logic. The belief mass allows evidence from multiple sources to be mathematically combined to increase or discount an assertion. In military operations the ability to reduce uncertainty will be vital in the data fusion operation.

关键词： Data fusion Data Reasoning Adaptive Resonance Theory Machine learning Heterogeneous data sources Data uncertainty handling Battlespace situational awareness Agent-based software

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multisensor, multisource information fusion: architectures, algorithms, and applications 2009

Multisensor, Multisource Information Fusion: Architectures, ...

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multisensor, multisource information fusion: architectures, algorithms, and applications 2009

ISBN: (纸本)9780819476111

The proceedings contain 24 papers. The topics discussed include: evaluation of a color fused dual-band NVG;TRICLOBS portable triband color lowlight observation system;ACT-Vision: active collaborative tracking for multiple PTZ cameras;manned/unmanned common architecture program (MCAP) net centric flight tests;a multi-layer network architecture for dynamic resource configuration and management of multiple mobile resources in maritime surveillance;semantic enrichment of multi-intelligence data within a net-centric environment;an integrated multi-source JDL high-level fusion architecture using recombinant cognition synthesis;data fusion engine (DFE) for the force protection joint experiment (FPJE);explosive detection in the presence of clutter by processing Raman spectra with a kernel adatron;and Energy Logic (EL): a novel fusion engine of multi-modality multi-agent data/information fusion for intelligent surveillance systems.

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Enhancing image fusion performance and utility for defence and security applications

Enhancing image fusion performance and utility for defence a...

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multisensor, multisource information fusion: architectures, algorithms, and applications 2009

作者： Sadler, J. Smith, M.I. Waterfall Solutions Ltd Parklands Guildford Surrey GU2 9JX United Kingdom

ISBN: (纸本)9780819476111

The real-time fusion of imagery from two or more complementary sensors offers significant operational benefits for both operator-in-the-loop and automated processing systems. This paper reports on a new image fusion framework that can be used to maximise detection, recognition and identification performance within the context of low false-alarm rate operation. The Intelligent Image fusion (I2F) architecture presented here allows exploitation of data at the information level as well as at the pixel-level, and can do so in an adaptable and intelligent manner. In this paper the architecture is examined in terms of design, applicability to a range of tasks, and performance factors such as adaptability, flexibility and utility. The relationship between algorithm design and hardware implementation, and the consequential impact on system performance, is also reviewed. Particular consideration is given to size, weight and power constraints that exist for some systems and their implications for processing optimisation and implementation on different processing platforms. Results are presented from the outcome of quantitative studies, development programmes and system trials. © 2009 SPIE.

关键词： Image fusion

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FuzzyfusionTM, an application architecture for multisource information fusion

FuzzyFusionTM, an application architecture for multisource i...

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multisensor, multisource information fusion: architectures, algorithms, and applications 2009

作者： Fox, Kevin L. Henning, Ronda R. Harris Corporation Melbourne FL 32902 United States

ISBN: (纸本)9780819476111

The correlation of information from disparate sources has long been an issue in data fusion research. Traditional data fusion addresses the correlation of information from sources as diverse as single-purpose sensors to all-source multi-media information. information system vulnerability information is similar in its diversity of sources and content, and in the desire to draw a meaningful conclusion, namely, the security posture of the system under inspection. FuzzyfusionTM A data fusion model that is being applied to the computer network operations domain is presented. This model has been successfully prototyped in an applied research environment and represents a next generation assurance tool for system and network security. © 2009 SPIE.

关键词： Data fusion

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An integrated multi-source JDL high-level fusion architecture using recombinant cognition synthesis

An integrated multi-source JDL high-level fusion architectur...

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multisensor, multisource information fusion: architectures, algorithms, and applications 2009

作者： Solanoa, Marco A. Ekwaro-Osire, Stephen Tanik, Murat M. Raytheon Intelligence and Information Systems Dallas TX United States Dept. of Mechanical Engineering Texas Tech University Lubbock TX United States Dept. of Electrical and Computer Engineering University of Alabama Birmingham AL United States

ISBN: (纸本)9780819476111

High-Level fusion systems based on the JDL model are relatively immature. Current solutions lack a comprehensive ability to manage multi-source data in a multi-dimensional vector space, and generally do not integrate collection to action models in a cohesive thread. Recombinant Cognition Synthesis (RCS) leverages best-of-breed techniques with a geospatial, temporal and semantic data model to provide a unified methodology that recombines multi-source data with analytic and predictive algorithms to synthesize actionable intelligence. This architecture framework enables the traversal of entity relationships at different level of granularities and the discovery of latent knowledge, thereby facilitating the domain problem analysis and the development of a Course-of-Action to mitigate adversarial threats. RCS also includes process refinement techniques to achieve superior information dominance, by incorporating specialized metadata. This comprehensive and unified methodology delivers enhanced utility to the intelligence analyst, and addresses key issues of relevancy, timeliness, accuracy, and uncertainty by providing metrics via feedback loops within the RCS infrastructure that augment the efficiency and effectiveness of the end-to-end fusion processing chain. © 2009 SPIE.

关键词： Data mining

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A local approach for focussed Bayesian fusion

A local approach for focussed Bayesian fusion

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multisensor, multisource information fusion: architectures, algorithms, and applications 2009

作者： Sander, Jennifer Heizmann, Michael Goussev, Igor Beyerera, Jürgen Lehrstuhl für Interaktive Echtzeitsysteme Adenauerring 4 D-76131 Karlsruhe Germany Fraunhofer-Institut für Informations- und Datenverarbeitung IITB Fraunhoferstraße 1 D-76131 Karlsruhe Germany

ISBN: (纸本)9780819476111

Local Bayesian fusion approaches aim to reduce high storage and computational costs of Bayesian fusion which is separated from fixed modeling assumptions. Using the small world formalism, we argue why this proceeding is conform with Bayesian theory. Then, we concentrate on the realization of local Bayesian fusion by focussing the fusion process solely on local regions that are task relevant with a high probability. The resulting local models correspond then to restricted versions of the original one. In a previous publication, we used bounds for the probability of misleading evidence to show the validity of the pre-evaluation of task specific knowledge and prior information which we perform to build local models. In this paper, we prove the validity of this proceeding using information theoretic arguments. For additional efficiency, local Bayesian fusion can be realized in a distributed manner. Here, several local Bayesian fusion tasks are evaluated and unified after the actual fusion process. For the practical realization of distributed local Bayesian fusion, software agents are predestinated. There is a natural analogy between the resulting agent based architecture and criminal investigations in real life. We show how this analogy can be used to improve the efficiency of distributed local Bayesian fusion additionally. Using a landscape model, we present an experimental study of distributed local Bayesian fusion in the field of reconnaissance, which highlights its high potential. © 2009 SPIE.

关键词： Efficiency

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Distributed multi-sensor fusion

Distributed multi-sensor fusion

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multisensor, multisource information fusion: architectures, algorithms, and applications 2008

作者： Scheffel, Peter Fish, Robert Knobler, Ron Plummer, Thomas McQ Inc. 1551 Forbes Street Fredericksburg VA 22405-1603

ISBN: (纸本)9780819471659

McQ has developed a broad based capability to fuse information in a geographic area from multiple sensors to build a better understanding of the situation. The paper will discuss the fusion architecture implemented by McQ to use many sensors and share their information. This multi sensor fusion architecture includes data sharing and analysis at the individual sensor, at communications nodes that connect many sensors together, at the system server/user interface, and across multi source information available through networked services. McQ will present a data fusion architecture that integrates a "Feature information Base" (FIB) with McQ's well known Common Data Interchange Format (CDIF) data structure. The distributed multi sensor fusion provides enhanced situation awareness for the user.

关键词： information fusion

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A system for testing distributed information fusion applications for maritime surveillance

A system for testing distributed information fusion applicat...

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Conference on multisensor, multisource information fusion

作者： Wehn, Hans Happe, Jens Guitouni, Adel Valin, Pierre Bosse, Eloi MacDonald Dettwiler & Associates Ltd 3800 Commerce Pkwy Richmond BC V6V 2J3 Canada Def R&D Canada DRDC Valcartier Quebec City PQ G3J 1X5 Canada

ISBN: (纸本)9780819471659

A PRECARN partnership project, called CanCoastWatch (CCW), is bringing together a team of researchers from industry, government, and academia for creating an advanced simulation test bed for the purpose of evaluating the effectiveness of Network Enabled Operations in a Coastal Wide Area Surveillance situation. The test bed allows experimenting with higher-level distributed information fusion, dynamic resource management and configuration management given multiple constraints on the resources and their communications networks. The test bed provides general services that are useful for testing many fusion applications. This includes a multi-layer plug-and-play architecture, and a general multi-agent framework based on John Boyd's OODA loop.

关键词： surveillance information fusion distributed fusion software agents simulation test bed

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