A color-based probabilistic tracking by using graphical models.
Yoshinori SatohTakayuki OkataniKoichiro DeguchiPublished in: IROS (2004)
Keyphrases
- graphical models
- probabilistic model
- bayesian networks
- nonparametric belief propagation
- belief networks
- belief propagation
- factor graphs
- probabilistic graphical models
- probabilistic inference
- random variables
- approximate inference
- probabilistic networks
- markov networks
- structure learning
- conditional random fields
- particle filter
- exact inference
- graph structure
- generative model
- statistical inference
- map inference
- particle filtering
- chain graphs
- latent variables
- conditional independence
- directed graphical models
- statistical relational learning
- hidden variables
- markov logic networks
- message passing
- posterior probability
- object recognition
- loopy belief propagation
- bayesian belief networks
- structural learning
- conditional probabilities
- expectation maximization