Using the Particle Filter Approach to Building Partial Correspondences Between Shapes.
Rolf LakämperMarc SobelPublished in: Int. J. Comput. Vis. (2010)
Keyphrases
- particle filter
- object tracking
- visual tracking
- particle filtering
- mean shift
- state estimation
- motion model
- state space
- likelihood function
- kalman filter
- sequential monte carlo
- monte carlo
- appearance model
- robust visual tracking
- data association
- target tracking
- multiple motion models
- multiple object tracking
- shape model
- multiple objects
- robust tracking
- point correspondences
- moving object tracking
- multiple hypotheses
- observation model
- multiple hypothesis
- abrupt motion
- rao blackwellized particle filter
- simultaneous localization and mapping
- importance sampling
- pairwise
- proposal distribution
- markov chain monte carlo
- dynamic environments
- mobile robot
- computer vision
- learning algorithm