Robust particle tracker via Markov Chain Monte Carlo posterior sampling.
Fasheng WangMingyu LuPublished in: Multim. Tools Appl. (2014)
Keyphrases
- markov chain monte carlo
- particle filter
- posterior distribution
- markov chain
- proposal distribution
- sampling algorithm
- parameter estimation
- bayesian inference
- posterior probability
- generative model
- markov chain monte carlo sampling
- approximate inference
- importance sampling
- monte carlo
- probability distribution
- data association
- metropolis hastings
- particle filtering
- object tracking
- visual tracking
- bayesian framework
- simulated annealing
- tracking framework
- appearance model
- reinforcement learning
- kalman filter
- motion model
- image reconstruction
- model selection
- graphical models
- state space
- probabilistic model