Tracking using Bayesian inference with a two-layer Graphical Model.
Tobias RehrlNikolaus TheißingAlexander BannatJürgen GastDejan ArsicFrank WallhoffGerhard RigollPublished in: ICIP (2010)
Keyphrases
- bayesian inference
- graphical models
- probabilistic model
- particle filter
- statistical inference
- belief propagation
- markov networks
- probabilistic graphical models
- random variables
- hyperparameters
- nonparametric belief propagation
- probabilistic inference
- approximate inference
- structure learning
- mixture model
- prior information
- conditional random fields
- generative model
- bayesian networks
- belief networks
- visual tracking
- particle filtering
- hidden variables
- exact inference
- conditional independence
- factor graphs
- object tracking
- latent variables
- expectation maximization
- motion tracking
- state space
- conditional dependencies
- conditional probabilities
- appearance model
- exponential family
- articulated body
- efficient inference algorithms