How to Avoid the Curse of Dimensionality: Scalability of Particle Filters with and without Importance Weights.
Simone Carlo SuraceAnna KutschireiterJean-Pascal PfisterPublished in: SIAM Rev. (2019)
Keyphrases
- particle filter
- particle filtering
- object tracking
- visual tracking
- multiple object tracking
- monte carlo
- motion model
- state estimation
- state space
- mean shift
- kalman filter
- appearance model
- robust tracking
- bayesian filtering
- bayesian inference
- abrupt motion
- likelihood function
- importance sampling
- image sequences
- data association
- estimation problems
- sequential monte carlo
- computer vision
- hand tracking
- model selection
- video sequences
- quasi monte carlo