The Normalized Subspace Inclusion: Robust clustering of motion subspaces.
Nuno Pinho da SilvaJoão Paulo CosteiraPublished in: ICCV (2009)
Keyphrases
- high dimensional data
- low rank representation
- low dimensional
- subspace clusters
- linear subspace
- subspace clustering
- data points
- image sequences
- lower dimensional
- clustering method
- clustering algorithm
- motion analysis
- nearest neighbor
- robust tracking
- motion estimation
- spectral clustering
- principal component analysis
- dimensionality reduction
- unsupervised learning
- feature subspace
- affinity matrix
- data sets
- low rank
- multibody
- subspace learning
- clustering high dimensional data
- optical flow
- similarity measure
- feature space
- moving objects
- k means
- cluster analysis
- motion field
- high dimensional
- canonical correlations
- hierarchical clustering
- motion segmentation
- motion model
- camera motion
- particle filter
- original data
- image space
- meaningful clusters
- linear projection