Particle Markov Chain Monte Carlo for Bayesian multi-target tracking.
Anh-Tuyet VuBa-Ngu VoRobin J. EvansPublished in: FUSION (2011)
Keyphrases
- markov chain monte carlo
- multi target tracking
- data association
- particle filter
- posterior distribution
- visual tracking
- bayesian inference
- markov chain
- motion model
- object tracking
- kalman filter
- posterior probability
- generative model
- monte carlo
- multiple targets
- parameter estimation
- multi sensor
- probability distribution
- latent variables
- state space
- particle filtering
- pairwise
- maximum likelihood
- bayesian framework
- motion estimation
- approximate inference
- appearance model
- active learning
- learning algorithm
- single image