Nonlinear State Estimation Using Particle Filters on the Stiefel Manifold.
Claudio J. Bordin Jr.Marcelo G. S. BrunoPublished in: ICASSP (2019)
Keyphrases
- state estimation
- particle filter
- euclidean space
- kalman filter
- particle filtering
- visual tracking
- object tracking
- kalman filtering
- dynamic systems
- motion model
- mean shift
- high dimensional
- state space
- appearance model
- extended kalman filter
- data association
- bayesian inference
- low dimensional
- estimation problems
- feature space
- probabilistic model
- proposal distribution
- unscented kalman filter
- vector space
- high resolution