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Context-Enhanced Information Fusion

Boosting Real-World Performance with Domain Knowledge

Gebonden Engels 2016 9783319289694
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9783319289694
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer International Publishing

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Inhoudsopgave

<p>Part I: Foundations</p>

<p>Context and Fusion: Definitions, Terminology<br>
James Llinas, Lauro Snidaro, Jesús García, and Erik Blasch</p>

<p>Part II: Concepts of Context for Fusion</p>

<p>Formalization of “Context” for Information Fusion<br>
Galina L. Rogova and Alan Steinberg</p>

<p>Context as an Uncertain Source<br>
James Llinas, Anne-Laure Jousselme, and Geoff Gross</p>

<p>Contextual Tracking Approaches in Information Fusion<br>
Erik Blasch, Chun Yang, Jesús García, Lauro Snidaro, and James Llinas</p>

<p>Context Assumptions for Threat Assessment Systems<br>
Steven A. Israel and Erik P. Blasch</p>

<p>Context-Aware Knowledge Fusion for Decision Support<br>
Alexander Smirnov, Tatiana Levashova, and Nikolay Shilov</p>

<p>Part III: Systems Philosophy of Contextual Fusion</p>

<p>System-Level Use of Contextual Information<br>
Alan Steinberg and Galina Rogova</p>

<p>Architectural Aspects for Context Exploitation in Information Fusion<br>
Jesús García, Lauro Snidaro, and James Llinas</p>

<p>Middleware for Exchange and validation of context data and information<br>
Jurgo-Soren Preden, James Llinas and Leo Motus</p>

<p>Modeling User Behaviors to Enable Context-Aware Proactive Decision Support<br>
Benjamin Newsom, Ranjeev Mittu, Mark A. Livingston, Stephen Russell, Jonathan W. Decker, Eric Leadbetter, Ira S. Moskowitz, Antonio Gilliam, Ciara Sibley, Joseph Coyne, and Myriam Abramson</p>

<p>Part IV: Mathematical Characterization of Context</p>

<p>Supervising the Fusion Process by Context Analysis for Target Tracking<br>
Vincent Nimier</p>

<p>Context Exploitation for Target Tracking<br>
Giulia Battistello, Michael Mertens, Martin Ulmke, and Wolfgang Koch<br>

</p><p>Contextual Tracking in Surface Applications: Algorithms and Design Examples<br>
Adam M. Fosbury, John L. Crassidis, and Jemin George</p>

<p>Context Relevance for Text Analysis and Enhancement for Soft Information Fusion<br>
Michael Kandefer and Stuart C. Shapiro</p>

<p>Algorithms for Context Learning and Information Representation for Multi-Sensor Teams<br>
Nurali Virani, Soumalya Sarkar, Ji-Woong Lee, Shashi Phoha, and Asok Ray</p>

<p>Part V: Context in Hard/Soft Fusion</p>

<p>Context for Dynamic and Multi-Level Fusion<br>
Lauro Snidaro and Ingrid Visentini</p>

<p>Multi-Level Fusion of Hard and Soft Information for Intelligence<br>
Joachim Biermann, Jesús García, Ksawery Krenc, Vincent Nimier, Kellyn Rein, and Lauro Snidaro</p>

<p>Context-Based Fusion of Physical and Human Data for Level 5 Information Fusion<br>
Erik Blasch, Riad I. Hammoud, Haibin Ling, Dan Shen, James Nagy, and Genshe Chen</p>

<p>Context Understanding from Query-Based Streaming Video<br>
Alex J. Aved and Erik P. Blasch</p>

<p>Part VI: Applications of Context Approaches to Fusion</p>

<p>The Role of Context in Multiple Sensor Systems for Public Security<br>
Wolfgang Koch</p>

<p>Entity Association Using Context for Wide-Area Motion Imagery Target Tracking<br>
Erik Blasch, Pengpeng Liang, Xinchu Shi, Peiyi Li, and Haibin Ling</p>

<p>Ground Target Tracking Applications: Design Examples for Military and Civil Domains<br>
Jesús García, Tarunraj Singh, and Dirk Tenne</p>

<p>Context-Based Situation Recognition in Computer Vision Systems<br>
J. Gómez-Romero, Jesús García, M.A. Patricio, M.A. Serrano, and J.M. Molina</p>

<p>Data Fusion Enhanced with Context Information for Road Safety Application<br>
Fernando García, Aurelio Ponz, David Martín, Arturo de la Escalera, and José María Armingol</p>

<p>Context in Robotics and Information Fusion<br>
Domenico D. Bloisi, Daniele Nardi, Francesco Riccio, and Francesco Trapani</p>

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