Graphical stochastic models for tracking applications with variational message passing inference.
Felix TrusheimAlexandru ConduracheAlfred MertinsPublished in: IPTA (2016)
Keyphrases
- message passing
- stochastic models
- sum product
- sum product algorithm
- probabilistic inference
- belief propagation
- max product
- stochastic model
- factor graphs
- stochastic processes
- inference in graphical models
- distributed systems
- markov random field
- shared memory
- approximate inference
- appearance model
- loopy belief propagation
- particle filter
- kalman filter
- particle filtering
- marginal distributions
- object tracking
- random fields
- visual tracking
- graphical models
- exact inference
- probability distribution
- pairwise
- em algorithm
- free energy
- mean shift
- wavelet transform
- information extraction
- image segmentation