Organised by
ISIF
In Association with
USAL UC3M
Supported by
IEEE

SS06 - Context-based Information Fusion

The goal of the proposed session is discussing approaches to context-based information fusion. It will cover the design and development of information fusion solutions integrating sensory data with contextual knowledge. The context may be spread at different levels, with static or dynamic structure, and represented in different ways, as maps, knowledge-bases, ontologies, etc. It can constitute a powerful tool to favour adaptability and system performance. Therefore, the session covers both representation and exploitation mechanisms so that this knowledge can be efficiently integrated in the fusion process and enable adaptation mechanisms under different possible paradigms (intelligent systems, knowledge management, integration in fusion algorithms, etc). The applicability of advanced approaches can be illustrated with real-world applications of information fusion requiring a contextualized approach.

Topics of interest

  • Representation and exploitation of contextual information at all levels in real world systems
  • Managing of heterogeneous contextual sources (hard and soft data and knowledge)
  • Injection of a priori knowledge to improve the performance of fusion systems
  • Augmentation of tracking, classification, recognition, situation analysis, etc. algorithms by contextual information
  • Adaptation techniques to have the system respond not only to changing target’s state but also to the surrounding environment
  • Strategies and algorithms for context discovery (off-line ad on-line)
  • Application examples, which will include, but not restricted to: context-aided surveillance systems (security/defence), traffic control, autonomous navigation, cyber security, ambient intelligence, ambient assistance, etc.

Keywords

Context formalization and exploitation, adaptive information fusion systems, reasoning techniques, real-world context-sensitive applications

Special Session Organizers

  • Jesus Garcia, University Carlos III of Madrid (Spain)
  • Lauro Snidaro, University of Udine (Italy)
  • Ingrid Visentini, Danieli Automation SpA (Italy)
  • Jose M. Molina, University Carlos III of Madrid (Spain)

Special Session Contact