Process-noise models for particle filtering under bounded forcing with unknown distribution.

P. F. Weston J. P. Norton

Published in: ACC (2001)

Keyphrases

particle filtering
particle filter
dynamic bayesian networks
probabilistic model
object tracking
visual tracking
kalman filter
density function
importance sampling
three dimensional
model selection
parameter estimation
missing data
observation model
sequential monte carlo
bayesian filtering