Adaptive Particle Sampling and Resampling in Parallel/Distributed Particle Filters.
Xudong ZhangFeng GuPublished in: SpringSim (2019)
Keyphrases
- particle filter
- proposal distribution
- importance sampling
- parallel distributed
- sequential monte carlo
- particle filtering
- monte carlo
- visual tracking
- object tracking
- kalman filter
- markov chain monte carlo
- multiple object tracking
- motion model
- state space
- bayesian filtering
- feature tracking
- state estimation
- bayesian inference
- multiple objects
- likelihood function
- simultaneous localization and mapping
- robust tracking
- observation model
- data association
- appearance model
- mean shift
- abrupt motion
- high dimensional state space
- quasi monte carlo
- posterior distribution
- density function
- markov chain
- variance reduction
- tracking framework
- approximate inference
- parameter estimation
- nonparametric belief propagation
- machine learning
- neural network