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Recognizing mobile organizations from column formations using hierarchical hidden Markov models: a simulation experiment
KTH, School of Computer Science and Communication (CSC), Numerical Analysis and Computer Science, NADA.
2005 (English)In: 2005 7th International Conference on Information Fusion (FUSION), Vols 1 and 2, 2005, 1094-1100 p.Conference paper, Published paper (Refereed)
Abstract [en]

In a paper at Fusion 2000, Bjornfot and Svensson discussed the use of HMMs to recognize mobile military organizations moving in column formation along a road from observations of the types and relative positions of its component vehicles. Straightforward use of standard HMMs in the sequence recognition task restricts the application of this technique to the rather unlikely situation where all vehicle types normally follow each other according to a fixed sequential pattern. In this paper this restriction is relaxed by representing a multi-level organization by an Hierarchical Hidden Markov Model, in which each possible component sequence for each organizational subunit type is modelled by a separate "sub-HMM". Experiments are carried out using simulated data which illustrate the increased flexibility and applicability of this approach in column recognition tasks.

Place, publisher, year, edition, pages
2005. 1094-1100 p.
Keyword [en]
force aggregation, ground target recognition, vehicle column recognition
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-43356DOI: 10.1109/ICIF.2005.1591979ISI: 000234830400146Scopus ID: 2-s2.0-33847156057ISBN: 0-7803-9286-8 (print)OAI: oai:DiVA.org:kth-43356DiVA: diva2:448225
Conference
7th International Conference on Information Fusion (FUSION) Location: Philadelphia, PA Date: JUL 25-28, 2005
Note
QC 20111014Available from: 2011-10-14 Created: 2011-10-14 Last updated: 2011-10-14Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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