A rank correlation coefficient based particle filter to estimate parameters in non-linear models.
Qingxu MengKaicheng LiPublished in: Int. J. Distributed Sens. Networks (2019)
Keyphrases
- particle filter
- correlation coefficient
- stepwise regression
- likelihood function
- object tracking
- visual tracking
- root mean square error
- observation model
- state estimation
- kalman filter
- appearance model
- state space
- robust visual tracking
- maximum likelihood
- mean shift
- particle filtering
- data association
- monte carlo
- parameter estimation
- robust tracking
- motion model
- expectation maximization
- model selection
- importance sampling
- bayesian framework
- computer vision
- simultaneous localization and mapping
- sequential monte carlo
- probabilistic model