Optimizing Particle Filter Parameters for Self-localization.
Armin BurchardtTim LaueThomas RöferPublished in: RoboCup (2010)
Keyphrases
- particle filter
- likelihood function
- particle filtering
- object tracking
- visual tracking
- appearance model
- motion model
- target tracking
- state space
- monte carlo
- kalman filter
- mean shift
- maximum likelihood
- state estimation
- robust visual tracking
- multiple hypotheses
- multiple object tracking
- multiple objects
- sequential monte carlo
- observation model
- importance sampling
- data association
- simultaneous localization and mapping
- moving object tracking
- multiple hypothesis
- abrupt motion
- rao blackwellized particle filter
- face tracking
- robust tracking
- tracking accuracy
- extended kalman filter
- image segmentation
- kalman filtering
- proposal distribution
- parameter space
- articulated body
- bhattacharyya coefficient