Resampling-free Particle Filters in High-dimensions.
Akhilan BoopathyAneesh MuppidiPeggy YangAbhiram IyerWilliam YueIla FietePublished in: CoRR (2024)
Keyphrases
- high dimensions
- particle filter
- importance sampling
- high dimensional data
- visual tracking
- particle filtering
- high dimensional
- kalman filter
- object tracking
- high dimensional spaces
- appearance model
- monte carlo
- state estimation
- bayesian filtering
- poor quality
- multiple object tracking
- state space
- robust tracking
- estimation problems
- abrupt motion
- mean shift
- sequential monte carlo
- multiple objects
- low dimensional
- markov chain monte carlo
- nearest neighbor
- simultaneous localization and mapping
- markov chain
- feature vectors
- data sets
- data mining
- machine learning
- feature selection
- image processing
- decision trees
- dynamic programming
- human motion