Publication: Contextual and Human Factors in Information Fusion
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2010
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IOS Press
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Abstract
Context and human factors may be essential to improving measurement processes for each sensor, and the particular context of each sensor could be used to obtain a global definition of context in multisensor environments. Reality may be captured by human sensorial domain based only on machine stimulus and then generate a feedback which can be used by the machine at its different processing levels, adapting its algorithms and methods accordingly. Reciprocally, human perception of the environment could also be modelled by context in the machine. In the proposed model, both machine and man take sensorial information from the environment and process it cooperatively until a decision or semantic synthesis is produced. In this work, we present a model for context representation and reasoning to be exploited by fusion systems. In the first place, the structure and representation of contextual information must be determined before being exploited by a specific application. Under complex circumstances, the use of context information and human interaction can help to improve a tracking system's performance (for instance, video-based tracking systems may fail when dealing with object interaction, occlusions, crosses, etc.).
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Proceedings of: NATO Advanced Research Workshop on Human Systems Integration to Enhance Maritime Domain Awareness for Port/Harbour Security Systems, Opatija (Croatia), December 8-12, 2008
Keywords
Context representation, Adaptive data fusion, Human computer interaction
Bibliographic citation
Shahbazian, E.; Rogova, G. (eds.), 2010. Human Systems Integration to Enhance Maritime Domain Awareness for Port/Harbour Security, [Proceedings of the NATO Advanced Research Workshop, Opatija, Croatia, 8-12 December 2008], (NATO Science for Peace and Security Series, Sub-Series D: Information and Communication Security Information and Communication Security – v. 28), IOS Press, pp. 79-92.