A joint particle filter and expectation maximization approach to machine condition prognosis.
Jinjiang WangRobert X. GaoZhuang YuanZhaoyan FanLaibin ZhangPublished in: J. Intell. Manuf. (2019)
Keyphrases
- particle filter
- expectation maximization
- em algorithm
- object tracking
- visual tracking
- likelihood function
- particle filtering
- state estimation
- state space
- mixture model
- appearance model
- motion model
- observation model
- sequential monte carlo
- mean shift
- data association
- gaussian mixture model
- robust visual tracking
- parameter estimation
- kalman filter
- monte carlo
- maximum likelihood
- multiple hypotheses
- probabilistic model
- importance sampling
- multiple hypothesis
- generative model
- image segmentation
- target tracking
- multiple object tracking
- tracking accuracy
- bayesian framework
- face tracking
- multiple objects
- robust tracking
- markov chain monte carlo
- proposal distribution
- multiple target tracking
- k means
- articulated body
- bayesian networks