Context-Enhanced Information Fusion

TRAMA

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.

SOMMARIO

Part I: Foundations Context and Fusion: Definitions, Terminology James Llinas, Lauro Snidaro, Jesús García, and Erik Blasch Part II: Concepts of Context for Fusion Formalization of “Context” for Information Fusion Galina L. Rogova and Alan Steinberg Context as an Uncertain Source James Llinas, Anne-Laure Jousselme, and Geoff Gross Contextual Tracking Approaches in Information Fusion Erik Blasch, Chun Yang, Jesús García, Lauro Snidaro, and James Llinas Context Assumptions for Threat Assessment Systems Steven A. Israel and Erik P. Blasch Context-Aware Knowledge Fusion for Decision Support Alexander Smirnov, Tatiana Levashova, and Nikolay Shilov Part III: Systems Philosophy of Contextual Fusion System-Level Use of Contextual Information Alan Steinberg and Galina Rogova Architectural Aspects for Context Exploitation in Information Fusion Jesús García, Lauro Snidaro, and James Llinas Middleware for Exchange and validation of context data and information Jurgo-Soren Preden, James Llinas and Leo Motus Modeling User Behaviors to Enable Context-Aware Proactive Decision Support 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 Part IV: Mathematical Characterization of Context Supervising the Fusion Process by Context Analysis for Target Tracking Vincent Nimier Context Exploitation for Target Tracking Giulia Battistello, Michael Mertens, Martin Ulmke, and Wolfgang Koch Contextual Tracking in Surface Applications: Algorithms and Design Examples Adam M. Fosbury, John L. Crassidis, and Jemin George Context Relevance for Text Analysis and Enhancement for Soft Information Fusion Michael Kandefer and Stuart C. Shapiro Algorithms for Context Learning and Information Representation for Multi-Sensor Teams Nurali Virani, Soumalya Sarkar, Ji-Woong Lee, Shashi Phoha, and Asok Ray Part V: Context in Hard/Soft Fusion Context for Dynamic and Multi-Level Fusion Lauro Snidaro and Ingrid Visentini Multi-Level Fusion of Hard and Soft Information for Intelligence Joachim Biermann, Jesús García, Ksawery Krenc, Vincent Nimier, Kellyn Rein, and Lauro Snidaro Context-Based Fusion of Physical and Human Data for Level 5 Information Fusion Erik Blasch, Riad I. Hammoud, Haibin Ling, Dan Shen, James Nagy, and Genshe Chen Context Understanding from Query-Based Streaming Video Alex J. Aved and Erik P. Blasch Part VI: Applications of Context Approaches to Fusion The Role of Context in Multiple Sensor Systems for Public Security Wolfgang Koch Entity Association Using Context for Wide-Area Motion Imagery Target Tracking Erik Blasch, Pengpeng Liang, Xinchu Shi, Peiyi Li, and Haibin Ling Ground Target Tracking Applications: Design Examples for Military and Civil Domains Jesús García, Tarunraj Singh, and Dirk Tenne Context-Based Situation Recognition in Computer Vision Systems J. Gómez-Romero, Jesús García, M.A. Patricio, M.A. Serrano, and J.M. Molina Data Fusion Enhanced with Context Information for Road Safety Application Fernando García, Aurelio Ponz, David Martín, Arturo de la Escalera, and José María Armingol Context in Robotics and Information Fusion Domenico D. Bloisi, Daniele Nardi, Francesco Riccio, and Francesco Trapani

AUTORE

Dr. Lauro Snidaro is an Assistant Professor in the Department of Mathematics and Computer Science at the University of Udine, Italy. Dr. Jesús García is an Associate Professor in the Computer Science and Engineering Department at the Carlos III University of Madrid, Spain. Dr. James Llinas is an Emeritus Professor in the Department of Industrial and Systems Engineering, and in the Department of Electrical Engineering, at the State University of New York at Buffalo, NY, USA. Dr. Erik Blasch is a Principal Scientist at the Air Force Research Laboratory Information Directorate (AFRL/RIEA) in Rome, NY, USA. The editors and contributors have all been leading experts within the international society of information fusion (ISIF).

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783319289694
• Collana: Advances in Computer Vision and Pattern Recognition
• Dimensioni: 235 x 155 mm Ø 13308 gr
• Formato: Copertina rigida
• Illustration Notes: XVIII, 703 p. 242 illus., 229 illus. in color.
• Pagine Arabe: 703
• Pagine Romane: xviii