Bearings-only tracking with particle filtering for joint parameter learning and state estimation.
Christopher NemethPaul FearnheadLyudmila MihaylovaDave VorleyPublished in: FUSION (2012)
Keyphrases
- particle filtering
- state estimation
- parameter learning
- particle filter
- visual tracking
- bayesian networks
- kalman filter
- kalman filtering
- structure learning
- object tracking
- appearance model
- conditional random fields
- generative model
- human motion
- mean shift
- maximum likelihood
- em algorithm
- approximate inference
- parameter estimation
- markov random field
- motion model
- graphical models
- state space
- hidden variables
- computer vision
- density function
- expectation maximization
- probability distribution
- probabilistic model
- feature extraction
- image sequences
- three dimensional