Variational Inference for Visual Tracking.
Jaco VermaakNeil D. LawrencePatrick PérezPublished in: CVPR (1) (2003)
Keyphrases
- visual tracking
- variational inference
- bayesian inference
- particle filter
- topic models
- latent dirichlet allocation
- probabilistic model
- probabilistic graphical models
- posterior distribution
- particle filtering
- appearance model
- variational methods
- gaussian process
- mixture model
- closed form
- video sequences
- mean shift
- data association
- exponential family
- object tracking
- factor graphs
- exact inference
- latent variables
- graphical models
- higher order
- approximate inference
- kalman filter
- hyperparameters
- markov chain monte carlo
- belief propagation
- optic flow
- parameter estimation
- image processing
- em algorithm
- maximum likelihood
- probability distribution
- support vector
- image sequences