BISC Seminar Annoucement, July 29th, 1999, 4-5pm, 380 Soda

Frank Hoffmann (fhoffman@cs.berkeley.edu)
Thu, 29 Jul 1999 14:37:32 +0200 (MET DST)

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Berkeley Initiative in Soft Computing (BISC)
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B I S C S e m i n a r A n n o u n c e m e n t
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A Statistical Approach To Situation Assessment

Speaker : Daniel McMichael
Cooperative Research Centre for
Sensor Signal & Information Processing
Email: dwm@cssip.edu.au
URL: http://www.cssip.edu.au/~dwm

Date: Thursday, July 29th, 1999
Time: 4-5pm
Location : 380 Soda Hall

Abstract

Situation assessment is the discrimination of concise
summary descriptions of the state of uncertain parametric models.
This paper considers the problem of providing summary
descriptions of dynamic state histories of
multitarget models. It shows that under the product
marginals approximation of the posterior distribution
of these models it is possible to evaluate the likelihood
of asynchronous multistage situations involving multiple
interacting elements. Such situations include individual
and multiple target manoeuvres.

A dynamic programming algorithm is described that
solves the problem of associating the stages of multiple
situation elements with discrete time instants. The
search space is much reduced by reparameterising the
problem as an optimisation of the interaction times. The
problem of associating tracks with situation elements is
solved by selective enumeration. Methods are provided
for eliminating apriori the vast preponderance of uninteresting
possibilities, so that they never need to be
calculated.

Bio:

Daniel McMichael leads the Data and Information Fusion Program at the
Cooperative Research Centre for Sensor Signal and Information
Processing (CSSIP) in Adelaide, Australia. Trained at Oxford, he
graduated in Electrical Engineering in 1983, and was awarded a D.Phil
in 1987. He has since written 36 technical papers and 38 reports in
data fusion and related fields, and is a recipient of the IEE
Heaviside Premium and the ESSO Centenary Award. His research
interests include learning in Bayesian networks, classifier design and
generalised tracking. He is presenter of a variety of courses related
to data and information fusion, and has supervised 17 research grants
and contracts in such areas as land-mine detection, airborne early
warning and control, multi-sonar fusion and bone fracture
classification. His current major research interests are graphical
statistical models and situation assessment. He is a Associate
Professor at the University of South Australia, Affiliate Professor at
the University of Adelaide, Chartered Engineer, Member of the IEE and
a Member of the IEEE. Professor McMichael maintains wide-ranging
international links, is a member of the board of the International
Society for Information Fusion.

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Please direct questions with regard to the contents of the talk
and request for papers to the speaker.
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-- 
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Frank Hoffmann                               UC Berkeley
Computer Science Division                    Department of EECS
Email: fhoffman@cs.berkeley.edu              phone: 1-510-642-8282
URL: http://http.cs.berkeley.edu/~fhoffman   fax:  1-510-642-5775
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