Multiple particle filtering for inference in the presence of state correlation of unknown mixing parameters.
Iñigo UrteagaMónica F. BugalloPetar M. DjuricPublished in: ICASSP (2017)
Keyphrases
- particle filtering
- state estimation
- particle filter
- dynamic bayesian networks
- conditional density
- visual tracking
- multiple hypotheses
- multiple targets
- bayesian filtering
- state variables
- state space
- human body tracking
- bayesian networks
- importance sampling
- kalman filtering
- density function
- human motion
- kalman filter
- mean shift
- maximum likelihood
- appearance model
- markov chain monte carlo
- object tracking
- ego motion estimation
- bayesian inference
- parameter estimation
- expectation maximization
- markov chain
- metropolis hastings
- computer vision