Robust particle filter by dynamic averaging of multiple noise models.
Bin LiuPublished in: ICASSP (2017)
Keyphrases
- particle filter
- multiple hypotheses
- visual tracking
- multiple cues
- multiple objects
- state estimation
- observation model
- object tracking
- long video sequences
- multiple object tracking
- motion model
- appearance model
- particle filtering
- probabilistic model
- kalman filter
- data association
- robust tracking
- computer vision
- multiple hypothesis
- likelihood function
- partial occlusion
- monte carlo
- state space
- multiple target tracking
- multiple targets
- face tracking
- tracking framework
- target tracking
- sequential monte carlo
- mean shift
- robust visual tracking
- parameter estimation