Context-enhanced information fusion : boosting real-world performance with domain knowledge

• 其他作者：
  • Snidaro, Lauro, editor.
  • Garcia, Jesus, editor.
  • Llinas, James, editor.
  • Blasch, Erik, editor.
  • SpringerLink (Online service)
• 其他題名：
  • Advances in computer vision and pattern recognition.
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Advances in computer vision and pattern recognition,
• 主題： Context-aware computing. , Multisensor data fusion. , Computer Science. , Pattern Recognition. , Information Systems Applications (incl. Internet) , Artificial Intelligence (incl. Robotics) , Simulation and Modeling.
• ISBN： 9783319289717 (electronic bk.) 、 9783319289694 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: 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.
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