University of Cambridge > Talks.cam > Horizon: A Sensory World. Novel Sensor Technologies and Applications > Sensor signal inference: evasive targets, particles and point processes

Sensor signal inference: evasive targets, particles and point processes

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Liam Garvey.

This event requires registration

I will describe methods for tracking from very noisy (high-clutter) sensors utilising Bayesian statistical models for sensor detections and object motion, combined with state of the art Monte Carlo computational methodology for estimation in the nonlinear and non-Gaussian scenarios that arise in this field.

This talk is part of the Horizon: A Sensory World. Novel Sensor Technologies and Applications series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2019 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity