A second order recursive algorithm for subspace tracking.
Åke AnderssonHolger BromanPublished in: ICASSP (1996)
Keyphrases
- recursive algorithm
- hypothesis testing
- upper bound
- higher order
- particle filter
- real time
- object tracking
- low dimensional
- minimum mean square error
- motion tracking
- particle filtering
- convex hull
- mean shift
- high order
- kalman filter
- appearance model
- visual tracking
- motion segmentation
- objective function
- feature extraction
- high dimensional data
- semi supervised
- high dimensional
- feature space