On-line behavior recognition for situation and threat assessment

Richard R. Brooks, Jason M. Schwier, Christopher Griffin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The ε-Machine is a hidden Markov model generalization that does not require a priori knowledge of the state structure of a system or the transition probabilities between the states. In this work, we discuss how ε-Machines are used to locate and analyze behavioral patterns in symbolized input data streams. We explain how the ε-Machine can be used to recognize when certain patterns occur.

Original languageEnglish (US)
Title of host publicationCollection of Technical Papers - 2007 AIAA InfoTech at Aerospace Conference
Pages1520-1523
Number of pages4
StatePublished - Nov 5 2007
Event2007 AIAA InfoTech at Aerospace Conference - Rohnert Park, CA, United States
Duration: May 7 2007May 10 2007

Publication series

NameCollection of Technical Papers - 2007 AIAA InfoTech at Aerospace Conference
Volume2

Other

Other2007 AIAA InfoTech at Aerospace Conference
CountryUnited States
CityRohnert Park, CA
Period5/7/075/10/07

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Industrial and Manufacturing Engineering

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  • Cite this

    Brooks, R. R., Schwier, J. M., & Griffin, C. (2007). On-line behavior recognition for situation and threat assessment. In Collection of Technical Papers - 2007 AIAA InfoTech at Aerospace Conference (pp. 1520-1523). (Collection of Technical Papers - 2007 AIAA InfoTech at Aerospace Conference; Vol. 2).