A likelihood-free particle filter for multi-obiect tracking.
Fabian SiggesMarcus BaumUwe D. HanebeckPublished in: FUSION (2017)
Keyphrases
- particle filter
- likelihood function
- proposal distribution
- particle filtering
- visual tracking
- object tracking
- kalman filter
- state estimation
- appearance model
- mean shift
- robust tracking
- target tracking
- sequential monte carlo
- motion model
- particle filtering algorithm
- observation model
- multiple hypothesis
- multiple object tracking
- state space
- multi target tracking
- multiple objects
- abrupt motion
- hand tracking
- maximum likelihood
- tracking accuracy
- tracking framework
- data association
- robust visual tracking
- articulated body
- moving object tracking
- face tracking
- importance sampling
- multiple hypotheses
- object tracking algorithm
- bayesian filtering
- learning algorithm