A direct sampling particle filter from approximate conditional density function supported on constrained state space.
Sridhar UngaralaPublished in: Comput. Chem. Eng. (2011)
Keyphrases
- density function
- proposal distribution
- particle filter
- state space
- particle filtering
- mean shift
- sequential monte carlo
- monte carlo
- probability density function
- object tracking
- importance sampling
- markov chain monte carlo
- visual tracking
- density estimation
- motion model
- bayesian inference
- kalman filter
- dynamic programming
- robust tracking
- reinforcement learning
- markov chain
- data association
- simultaneous localization and mapping
- observation model
- bayesian networks
- high dimensional state space