Estimation of low-level turbulence utilizing the proper orthogonal decomposition and particle filter.
Ryota KikuchiTakashi MisakaShigeru ObayashiPublished in: FUSION (2013)
Keyphrases
- particle filter
- low level
- state estimation
- importance sampling
- extended kalman filter
- particle filtering
- object tracking
- visual tracking
- estimation problems
- kalman filter
- state space
- monte carlo
- observation model
- robust visual tracking
- robust tracking
- appearance model
- data association
- likelihood function
- mean shift
- estimation algorithm
- multiple hypotheses
- motion model
- target tracking
- multiple hypothesis
- visual features
- proposal distribution
- parameter estimation
- rao blackwellized particle filter
- abrupt motion
- sequential monte carlo
- tracking accuracy
- face tracking
- multiple objects
- visual cues
- multiple object tracking
- partial occlusion
- articulated body
- estimation accuracy