Adapting sample size in particle filters through KLD-resampling.
Tiancheng LiShudong SunTariq Pervez SattarPublished in: CoRR (2013)
Keyphrases
- sample size
- particle filter
- importance sampling
- particle filtering
- object tracking
- visual tracking
- monte carlo
- model selection
- state estimation
- variance reduction
- upper bound
- kalman filter
- quasi monte carlo
- small sample
- multiple object tracking
- state space
- covariance matrix
- random sampling
- abrupt motion
- worst case
- mean shift
- appearance model
- bayesian inference
- progressive sampling
- hyperparameters
- data association
- markov chain monte carlo
- dynamic programming
- high resolution
- pairwise
- sequential monte carlo
- machine learning