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SUMMARY:Sensor signal inference: evasive targets\, particles and point pro
 cesses - Professor Simon Godsill\, Department of Engineering
DTSTART:20070320T141500Z
DTEND:20070320T144500Z
UID:TALK6804@talks.cam.ac.uk
CONTACT:Liam Garvey
DESCRIPTION:I will describe methods for tracking from very noisy (high-clu
 tter) sensors utilising Bayesian statistical models for sensor detections 
 and object motion\, combined with state of the art Monte Carlo computation
 al methodology for estimation in the nonlinear and non-Gaussian scenarios 
 that arise in this field.
LOCATION:Kaetsu Centre\, New Hall
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