Feedback Particle Filter With Stochastically Perturbed Innovation And Its Application to Dual Estimation.
David AngwenyiPublished in: CoRR (2021)
Keyphrases
- particle filter
- state estimation
- importance sampling
- extended kalman filter
- visual tracking
- estimation problems
- object tracking
- particle filtering
- state space
- monte carlo
- mean shift
- appearance model
- motion model
- kalman filter
- robust visual tracking
- multiple hypothesis
- multiple hypotheses
- likelihood function
- multiple object tracking
- observation model
- face tracking
- robust tracking
- estimation algorithm
- estimation accuracy
- data association
- sequential monte carlo
- target tracking
- rao blackwellized particle filter
- parameter estimation
- machine learning
- multiple objects
- proposal distribution
- markov chain
- articulated body
- markov random field
- dynamic programming