Data fusion for situation monitoring, incident detection, alert and response management [[electronic resource] /] / edited by Elisa Shahbazian, Galina Rogova, Pierre Valin

• Record Nr.: UNINA9910783414503321
• Pubbl/distr/stampa: Amsterdam, : IOS Press, 2005
• ISBN: 661050489X; 1-280-50489-7; 9786610504893; 1-4294-0579-1; 1-60750-124-4; 600-00-0390-0; 1-60129-105-1
• Descrizione fisica: 1 online resource (832 p.)
• Collana: NATO science series. Series III, Computer and systems sciences ; ; vol.198
• Altri autori (Persone): ShahbazianE (Elisa); RogovaGalina; ValinPierre
• Disciplina: 621.38928
• Soggetti: Computer vision; Image processing; Multisensor data fusion
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: published in cooperation with NATO Public Diplomacy Division.; Includes bibliographical references and index.; proceedings of the NATO Advanced Study Institute on Data fusion for situation monitoring, incident detection, alert and response management.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Title page; Preface; Contents; Fusion Methodology; Information Fusion for Decision Making; A Gentle Introduction to Fusion of Multiple Pattern Classifiers; Uncertainty Management for Intelligence Analysis; Knowledge, Uncertainty and Belief in Information Fusion and Situation Analysis; Information Evaluation: A Formalisation of Operational Recommendations; Fusion Techniques for Airborne and Spaceborne ; Identification of Objects; Distributed Fusion: Learning in Multi-Agent Systems for Time Critical Decision Making; Active Robotic Sensing as Decision Making with Statistical Methods; A New Genetic Algorithm for Global Optimization of Resources in Naval WarfareCalculus of Variations and Data Fusion; Reliability in Multiple Hypotheses Testing and Identification Problems; Human Computer Interaction; Decision Support in Command and Control; Multimodal Input Fusion in Human-Computer Interaction; Spatio-Temporal Data Visualization and Analysis for Multi-Target Tracking; Systems and Architectures; Principles of Systems Engineering for Data Fusion Systems; A Taxonomy of Sensor Processing Architectures; Knowledge Fusion in the Scalable Infosphere; Multi-Agent Data and Information FusionArchitecture Analysis and Demonstration of Distributed Data Fusion; Data Fusion Testbed for Recognized Maritime Picture; Comparisons of Track-Level Fusion Results with Tracklets Application Within a Simulation Environment; Data Fusion for Imagery; Multisensors and Contextual Information Fusion; Fusion of Two Imagery Classifiers; Application of Multi-Dimensional Discrete Transforms on Lie Groups for Image Processing; Application of Continuous Extension of DCT to FLIR Images; Neural Network-Based Fusion of Image and Non-Image Data for Surveillance and Tracking ApplicationsSuper-Resolution of Tactical Surveillance and Tracking Data for Fusion of Images; Design of Fusion Architectures for Surveillance and Tracking Using Information Value Mappings; Intelligent Fusion of Visual, Radio and Heterogeneous Embedded Sensor Information Within Cooperative and Distributed Smart Spaces; Multimodal Cooperative Modulation Estimation and Terminal Location for Multisource Sensor Networks; Issues in Multicamera Dynamic Metadata Information Extraction and Interpretation for Ambient IntelligenceAn Expert System for Surveillance Picture Understanding; Tracking and Sensor Fusion; Group Tracking; Robust Modification of the EM-Algorithm for Parametric Multitrajectory Estimation in Noise and Clutter; Non-Parametric Multi-Trajectory Estimation; Integrated Estimation and Guidance for Target Interception; An Adaptive, Variable Structure, Multiple Model Estimator; A Distributed Sensor Network for Real-Time Multisensor Surveillance Against Possible Terrorist Actions; Advantages and Drawbacks of Multisite Radar Systems
• Sommario/riassunto: Data Fusion is an interdisciplinary technology domain. This work focuses on the mature phase of data fusion, namely the detection and identification/classification of phenomena being observed and exploitation of the related methods for Security-Related Civil Science and Technology (SST) applications.