Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling.
Jan KudlickaLawrence M. MurrayFredrik RonquistThomas B. SchönPublished in: UAI (2019)
Keyphrases
- particle filter
- sequential monte carlo
- observation model
- particle filtering
- object tracking
- probabilistic model
- visual tracking
- appearance model
- markov chain monte carlo
- estimation problems
- monte carlo
- importance sampling
- kalman filter
- state estimation
- proposal distribution
- robust visual tracking
- bayesian networks
- state space
- motion model
- rao blackwellized particle filter
- target tracking
- likelihood function
- robust tracking
- mean shift
- face tracking
- parameter estimation
- data association
- posterior probability
- human body
- multiple object tracking
- maximum likelihood
- machine learning