A particle filter framework using optimal importance function for protein molecules tracking.
Quan WenJean GaoAkio KosakaHidekazu IwakiKate Luby-PhelpsDorothy MundyPublished in: ICIP (1) (2005)
Keyphrases
- particle filter
- object tracking
- particle filtering algorithm
- visual tracking
- particle filtering
- observation model
- sequential monte carlo
- tracking framework
- tracking scheme
- bayesian filtering
- appearance model
- mean shift
- motion model
- target tracking
- object tracking algorithm
- multiple hypothesis
- kalman filter
- multiple object tracking
- robust visual tracking
- tracking accuracy
- state estimation
- state space
- face tracking
- robust tracking
- multi target tracking
- abrupt motion
- importance sampling
- multiple cues
- moving object tracking
- multiple targets
- extended kalman filter
- data association
- moving target
- proposal distribution
- structure from motion
- maximum likelihood
- articulated body
- long video sequences
- rao blackwellized particle filter
- nonparametric belief propagation
- search space
- human motion tracking
- unscented kalman filter
- multiple hypotheses
- contour tracking
- partial occlusion
- bayesian framework
- probabilistic model