An information theoretic rule for sample size adaptation in particle filtering.
Oswald LanzPublished in: ICIAP (2007)
Keyphrases
- information theoretic
- sample size
- particle filtering
- particle filter
- mutual information
- visual tracking
- model selection
- kalman filter
- random sampling
- covariance matrix
- human motion
- object tracking
- upper bound
- importance sampling
- appearance model
- hyperparameters
- worst case
- dynamic bayesian networks
- pac learning
- structure learning
- mean shift
- classification rules
- video sequences
- image sequences
- monte carlo
- association rules
- lower bound
- pattern recognition
- machine learning
- data sets