A SMC Sampler for Joint Tracking and Destination Estimation from Noisy Data.
Lyudmil VladimirovSimon MaskellPublished in: FUSION (2020)
Keyphrases
- noisy data
- intrinsic dimensionality
- sequential monte carlo
- joint detection
- noise tolerant
- noise free
- particle filter
- learning from noisy data
- monte carlo
- high dimensional
- missing data
- input data
- object tracking
- missing values
- posterior distribution
- particle filtering
- appearance model
- kalman filter
- shortest path
- visual tracking
- high dimensionality
- data sets
- dimensionality reduction
- feature space
- video sequences