Login / Signup
Marginalized adaptive particle filtering for nonlinear models with unknown time-varying noise parameters.
Emre Özkan
Václav Smídl
Saikat Saha
Christian Lundquist
Fredrik Gustafsson
Published in:
Autom. (2013)
Keyphrases
</>
particle filtering
nonlinear models
particle filter
visual tracking
linear model
appearance model
object tracking
kalman filter
human motion
linear models
maximum likelihood
real time
input data
state space
logistic regression
least squares
nearest neighbor
noise level
spatio temporal
three dimensional