The Manifold Particle Filter for State Estimation on High-dimensional Implicit Manifolds.
Matthew KlingensmithMichael C. KovalSiddhartha S. SrinivasaNancy S. PollardMichael KaessPublished in: CoRR (2016)
Keyphrases
- state estimation
- particle filter
- high dimensional
- low dimensional
- manifold learning
- low dimensional manifolds
- visual tracking
- particle filtering
- kalman filter
- dimensionality reduction
- object tracking
- high dimensional data
- motion model
- dynamic systems
- extended kalman filter
- feature space
- kalman filtering
- data points
- estimation problems
- state space
- mean shift
- data association
- appearance model
- parameter space
- nearest neighbor
- target tracking
- principal component analysis
- computer vision
- simultaneous localization and mapping
- face images
- image classification
- three dimensional