DocumentCode :
2449314
Title :
Towards multiple hypothesis situation analysis
Author :
Roy, Jean
Author_Institution :
Defence R&D Canada - Valcartier, Quebec City
fYear :
2007
fDate :
9-12 July 2007
Firstpage :
1
Lastpage :
8
Abstract :
Uncertainty makes the analysis of even simple situations difficult. It forces situation analysts to formulate and manage hypotheses during the construction of the explicit representations of the real world situations. Because of human cognitive limitations, this may quickly become overwhelming, even for the most experienced and capable analysts. In an attempt to provide better support systems, this position paper revisits the main concepts behind Multiple Hypothesis Tracking (MHT) in order to highlight how these ideas could be reused to deal with uncertainty in situation analysis. The development of a prototype reusing components of a prior MHT implementation is briefly presented. Finally, a number of challenging R&D issues and questions that have not yet been addressed are identified.
Keywords :
sensor fusion; tracking; tree data structures; uncertain systems; MHT implementation; hypothesis tree data structure; information fusion; multiple hypothesis situation analysis uncertainty; multiple hypothesis tracking; Assembly systems; Decision making; Humans; Information analysis; Knowledge management; Prototypes; Research and development; Tree data structures; Uncertainty; Visualization; Situation analysis; clustering; hypothesis; hypothesis tree; pruning; uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion, 2007 10th International Conference on
Conference_Location :
Quebec, Que.
Print_ISBN :
978-0-662-45804-3
Electronic_ISBN :
978-0-662-45804-3
Type :
conf
DOI :
10.1109/ICIF.2007.4408032
Filename :
4408032
Link To Document :
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