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Context-Enhanced Information Fusion: Boosting Real-World Performance with Domain Knowledge de Lauro Snidaro

Context-Enhanced Information Fusion: Boosting Real-World Performance with Domain Knowledge: Advances in Computer Vision and Pattern Recognition

Editat de Lauro Snidaro, Jesús García, James Llinas, Erik Blasch
en Limba Engleză Hardback – 6 iun 2016
This text reviews the fundamental theory and latest methods for including contextual information in fusion process design and implementation. Chapters are contributed by the foremost international experts, spanning numerous developments and applications. The book highlights high- and low-level information fusion problems, performance evaluation under highly demanding conditions, and design principles. A particular focus is placed on approaches that integrate research from different communities, emphasizing the benefit of combining different techniques to overcome the limitations of a single perspective. Features: introduces the terminology and core elements in information fusion and context; presents key themes for context-enhanced information fusion; discusses design issues in developing context-aware fusion systems; provides mathematical grounds for modeling the contextual influences in representative fusion problems; describes the fusion of hard and soft data; reviews a diverse range of applications.
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Specificații

ISBN-13: 9783319289694
ISBN-10: 3319289691
Pagini: 695
Ilustrații: XVIII, 703 p. 242 illus., 229 illus. in color.
Dimensiuni: 155 x 235 x 42 mm
Greutate: 1.52 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Computer Vision and Pattern Recognition

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Part I: Foundations.- Context and Fusion: Definitions, Terminology.- Part II: Concepts of Context for Fusion.- Formalization of “Context” for Information Fusion.- Context as an Uncertain Source.- Contextual Tracking Approaches in Information Fusion.- Context Assumptions for Threat Assessment Systems.- Context-Aware Knowledge Fusion for Decision Support.- Part III: Systems Philosophy of Contextual Fusion.- System-Level Use of Contextual Information.- Architectural Aspects for Context Exploitation in Information Fusion.- Middleware for Exchange and validation of context data and information.- Modeling User Behaviors to Enable Context-Aware Proactive Decision Support.- Part IV: Mathematical Characterization of Context.- Supervising the Fusion Process by Context Analysis for Target Tracking.- Context Exploitation for Target Tracking.- Contextual Tracking in Surface Applications: Algorithms and Design Examples.- Context Relevance for Text Analysis and Enhancement for Soft Information Fusion.- Algorithms for Context Learning and Information Representation for Multi-Sensor Teams.- Part V: Context in Hard/Soft Fusion.- Context for Dynamic and Multi-Level Fusion.- Multi-Level Fusion of Hard and Soft Information for Intelligence.- Context-Based Fusion of Physical and Human Data for Level 5 Information Fusion.- Context Understanding from Query-Based Streaming Video.- Part VI: Applications of Context Approaches to Fusion.- The Role of Context in Multiple Sensor Systems for Public Security.- Entity Association Using Context for Wide-Area Motion Imagery Target Tracking.- Ground Target Tracking Applications: Design Examples for Military and Civil Domains.- Context-Based Situation Recognition in Computer Vision Systems.- Data Fusion Enhanced with Context Information for Road Safety Application.- Context in Robotics and Information Fusion.

Notă biografică

Dr. Lauro Snidaro is an AssistantProfessor in the Department of Mathematics and Computer Science at theUniversity of Udine, Italy. Dr. Jesús García is an Associate Professor in theComputer Science and Engineering Department at the Carlos III University ofMadrid, Spain. Dr. James Llinas isan Emeritus Professor in the Department of Industrial and Systems Engineering, andin the Department of Electrical Engineering, at the State University of NewYork at Buffalo, NY, USA. Dr. Erik Blasch is a Principal Scientist at the Air Force Research LaboratoryInformation Directorate (AFRL/RIEA) in Rome, NY, USA. The editors andcontributors have all been leading experts within the international society ofinformation fusion (ISIF).

Textul de pe ultima copertă

This interdisciplinary text/reference reviews thefundamental theory and latest methods for including contextual information infusion process design and implementation. Chapters are contributed by theforemost international experts, spanning numerous developments andapplications. The book highlights high- and low-level information fusionproblems, performance evaluation under highly demanding conditions, and designprinciples. A particular focus is placed on holistic approaches that integrateresearch from different communities, emphasizing the benefit of combiningdifferent techniques to overcome the limitations of a single perspective or approach.
 
Topics andfeatures:
 
·        Introduces the essential terminology and core elementsin information fusion and context, conveyed with the support of the JDL/DFIGdata fusion model
·        Presents key themes for context-enhanced informationfusion, including topics derived from target tracking, decision support andthreat assessment
·        Discusses design issues in developing context-awarefusion systems, proposing several architectures optimized for context accessand discovery
·        Provides mathematical grounds for modeling thecontextual influences in representative fusion problems, such as sensor qualityassessment, target tracking, robotics, and text analysis
·        Describes the fusion of device-generated (hard) datawith human-generated (soft) data
·        Reviews a diverse range of applications where theexploitation of contextual information in the fusion process boosts systemperformance
 
This authoritative volume will be of great use toresearchers, academics, and practitioners pursuing applications whereinformation fusion offers a solution. The broad coverage will appeal to thoseinvolved in a variety of disciplines, from machine learning and data mining, tomachine vision, decision support systems, and systems engineering.
 
Dr. Lauro Snidaro is an Assistant Professorin the Department of Mathematics and Computer Science at the University ofUdine, Italy. Dr. Jesús García is an AssociateProfessor in the Computer Science and Engineering Department at the Carlos IIIUniversity of Madrid, Spain. Dr. JamesLlinas is an Emeritus Professor in the Department of Industrial and SystemsEngineering, and in the Department of Electrical Engineering, at the StateUniversity of New York at Buffalo, NY, USA. Dr. Erik Blasch is a Principal Scientistat the Air Force Research Laboratory Information Directorate (AFRL/RIEA) inRome, NY, USA. The editors and contributors have all been leading expertswithin the international society of information fusion (www.isif.org).

Caracteristici

Provides a special focus on practical approaches to solving real-world problems Describes the application of signal and intelligence processing approaches to open challenges in information fusion Presents an holistic approach, integrating research results fromdifferent communities Reviewscontemporary developments on fresh and challenging topics in information fusion Includes supplementary material: sn.pub/extras