Gain function approximation in the feedback particle filter.
Amirhossein TaghvaeiPrashant G. MehtaPublished in: CDC (2016)
Keyphrases
- particle filter
- function approximation
- reinforcement learning
- visual tracking
- object tracking
- particle filtering
- state space
- radial basis function
- appearance model
- state estimation
- monte carlo
- temporal difference learning algorithms
- kalman filter
- motion model
- mean shift
- temporal difference
- learning tasks
- observation model
- importance sampling
- function approximators
- proposal distribution
- multiple objects
- least squares
- high dimensional
- pattern recognition