Particle Filter-Based Approach to Estimate Remaining Useful Life for Predictive Maintenance.
Chunsheng YangQingfeng LouJie LiuHongyu GuoYun BaiPublished in: IEA/AIE (2015)
Keyphrases
- particle filter
- object tracking
- visual tracking
- particle filtering
- state space
- state estimation
- monte carlo
- multiple hypotheses
- kalman filter
- multiple object tracking
- mean shift
- appearance model
- sequential monte carlo
- data association
- motion model
- likelihood function
- robust tracking
- robust visual tracking
- importance sampling
- rao blackwellized particle filter
- target tracking
- observation model
- multiple hypothesis
- face tracking
- multiple objects
- graph cuts
- tracking accuracy
- abrupt motion
- probabilistic model
- proposal distribution
- tracking scheme
- multiple target tracking
- articulated body
- kalman filtering
- extended kalman filter
- image sequences
- bayesian framework
- markov chain
- reinforcement learning