Multiple Basic Proposal Distributions Model Based Sampling Particle Filter.
Lihong ShiFeng YangLitao ZhengXiaoxu WangLiang ChenPublished in: FUSION (2020)
Keyphrases
- particle filter
- proposal distribution
- multiple hypotheses
- sequential monte carlo
- monte carlo
- particle filtering
- multiple objects
- visual tracking
- object tracking
- importance sampling
- state space
- kalman filter
- state estimation
- motion model
- mean shift
- multiple targets
- appearance model
- target tracking
- observation model
- multiple cues
- likelihood function
- markov chain monte carlo
- robust visual tracking
- rao blackwellized particle filter
- data association
- multiple target tracking
- moving object tracking
- multiple object tracking
- robust tracking
- tracking framework
- density function
- probability distribution
- extended kalman filter
- face tracking
- feature tracking
- image segmentation
- tracking scheme
- random variables
- articulated body
- parameter estimation
- bayesian filtering
- abrupt motion
- high dimensional state space
- multiple motion models
- reinforcement learning