Kernel Embedded Nonlinear Observational Mappings in the Variational Mapping Particle Filter.
Manuel PulidoPeter Jan van LeeuwenDerek J. PosseltPublished in: ICCS (4) (2019)
Keyphrases
- probabilistic model
- particle filter
- nonparametric belief propagation
- graphical models
- particle filtering
- object tracking
- visual tracking
- state estimation
- robust visual tracking
- monte carlo
- kalman filter
- appearance model
- motion model
- bayesian networks
- observation model
- mean shift
- state space
- likelihood function
- multiple object tracking
- kernel function
- support vector
- data association
- face tracking
- sequential monte carlo
- moving object tracking
- image segmentation
- target tracking
- markov chain monte carlo
- optical flow
- importance sampling
- multiple objects
- image sequences
- multiple hypothesis
- tracking framework
- learning algorithm
- proposal distribution
- multiple hypotheses
- motion estimation