The Householder Compressor Theorem and its application in subspace tracking.
Peter StrobachPublished in: Signal Process. (2009)
Keyphrases
- object tracking
- real time
- particle filter
- motion tracking
- kalman filter
- computer vision
- feature space
- low dimensional
- high dimensional data
- mean shift
- visual tracking
- subspace learning
- fixed length
- moving target
- motion analysis
- robust tracking
- high dimensional
- von neumann
- deformable objects
- articulated objects
- real time tracking
- linear subspace
- appearance model
- target tracking
- principal components
- motion model
- principal component analysis
- data points
- data sets