The manifold particle filter for state estimation on high-dimensional implicit manifolds.
Michael C. KovalMatthew KlingensmithSiddhartha S. SrinivasaNancy S. PollardMichael KaessPublished in: ICRA (2017)
Keyphrases
- state estimation
- particle filter
- high dimensional
- low dimensional
- manifold learning
- low dimensional manifolds
- visual tracking
- particle filtering
- dimensionality reduction
- kalman filter
- object tracking
- data points
- high dimensional data
- motion model
- parameter space
- state space
- feature space
- estimation problems
- extended kalman filter
- mean shift
- target tracking
- appearance model
- dynamic systems
- kalman filtering
- unscented kalman filter
- data association
- nearest neighbor
- latent space
- face images
- higher order
- principal component analysis
- tracking framework
- probabilistic model
- face recognition
- feature selection
- machine learning