Unsupervised Learning Grouping-Based Resampling for Particle Filters.
Weiming YangLe SongClarence Augustine Th TeeYelong ZhengYuliang LiuPublished in: IEEE Access (2019)
Keyphrases
- particle filter
- unsupervised learning
- importance sampling
- particle filtering
- object tracking
- visual tracking
- kalman filter
- supervised learning
- monte carlo
- state space
- state estimation
- appearance model
- motion model
- mean shift
- likelihood function
- robust tracking
- semi supervised
- abrupt motion
- data association
- observation model
- multiple object tracking
- sequential monte carlo
- multiple hypotheses
- bayesian filtering
- model selection
- text classification
- color histogram
- dimensionality reduction
- machine learning
- markov chain monte carlo
- expectation maximization
- estimation problems
- articulated body
- high dimensional state space
- simultaneous localization and mapping
- human body
- probabilistic model
- training data