A Robust Particle Tracker via Markov Chain Monte Carlo Posterior Sampling.
Fasheng WangMingyu LuLiran ShenPublished in: ACCV Workshops (2) (2012)
Keyphrases
- markov chain monte carlo
- particle filter
- posterior distribution
- proposal distribution
- markov chain
- parameter estimation
- sampling algorithm
- monte carlo
- generative model
- markov chain monte carlo sampling
- bayesian inference
- particle filtering
- posterior probability
- importance sampling
- metropolis hastings
- visual tracking
- approximate inference
- object tracking
- tracking framework
- kalman filter
- data association
- probability distribution
- latent variables
- gibbs sampler
- appearance model
- metropolis hastings algorithm
- simulated annealing
- least squares
- bayesian framework
- genetic algorithm
- human body
- em algorithm
- graphical models
- bayesian networks