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Topic: CONDENSATION -- conditional density propagation for visual tracking
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Jorge Leandro  16
11-09-2007 12:21 PM ET (US)
Hi, Iwan
You've basically have to understand the Bayes Law:
p(x|z) = [p(z|x).p(x)]/p(z) (see http://en.wikipedia.org/wiki/Bayes'_theorem )

You don't measure p(x|z) (posterior density), cause it's hard to obtain. So, you resort to the above expression, since terms in the left hand side of the expression are easier to measure/estimate. You do have to estimate the p(z|x) (conditional density) and there are several methods for doing so.
To fully grasp the theory involved, read the tutorial:
A Tutorial on Particle Filters for On-line Non-linear/Non-Gaussian Bayesian Tracking (2001) - PDF: http://citeseer.ist.psu.edu/504843.html

Find the entire source code in C here:
http://www.robots.ox.ac.uk/~misard/condensation.html

Regards
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