Kernel embedded nonlinear observational mappings in the variational mapping particle filter.
Manuel PulidoPeter Jan van LeeuwenDerek J. PosseltPublished in: CoRR (2019)
Keyphrases
- particle filter
- visual tracking
- object tracking
- particle filtering
- nonparametric belief propagation
- monte carlo
- multiple hypotheses
- appearance model
- state space
- motion model
- kalman filter
- observation model
- state estimation
- likelihood function
- sequential monte carlo
- multiple object tracking
- robust visual tracking
- image segmentation
- support vector
- kernel function
- data association
- mean shift
- multiple objects
- importance sampling
- robust tracking
- target tracking
- multiple hypothesis
- simultaneous localization and mapping
- face tracking
- optical flow
- tracking scheme
- moving object tracking
- computer vision
- tracking framework
- tracking accuracy
- articulated body
- abrupt motion