Improving Visual Tracking Robustness in Cluttered and Occluded Environments using Particle Filter with Hybrid Resampling.
Flavio de Barros VidalDiego A. L. CordobaAlexandre ZaghettoCarla M. C. C. KoikePublished in: VISAPP (3) (2014)
Keyphrases
- visual tracking
- particle filter
- object tracking
- importance sampling
- particle filtering
- appearance model
- kalman filter
- mean shift
- data association
- likelihood function
- motion model
- state space
- state estimation
- hand tracking
- robust visual tracking
- robust tracking
- multi target tracking
- multiple object tracking
- observation model
- particle filtering algorithm
- sequential monte carlo
- abrupt motion
- face tracking
- partial occlusion
- dynamic environments
- bayesian filtering
- multiple targets
- multiple objects
- video sequences
- tracking framework
- tracking scheme
- feature extraction
- machine learning