Bayesian filtering for stochastic dynamical systems via Markov chain Monte Carlo.
Meng GaoXinghua ChangXinxiu WangPublished in: BMEI (2012)
Keyphrases
- dynamical systems
- markov chain monte carlo
- bayesian filtering
- particle filtering
- particle filter
- monte carlo
- proposal distribution
- state space
- visual tracking
- object tracking
- kalman filter
- importance sampling
- markov chain
- data association
- bayesian inference
- posterior distribution
- generative model
- parameter estimation
- appearance model
- mean shift
- human motion
- posterior probability
- approximate inference
- dynamic programming
- simulated annealing
- computer vision
- higher order
- feature space
- cross validation
- video sequences
- reinforcement learning