Kernel Spectral Clustering for Motion Tracking: A First Approach.
Diego Hernán Peluffo-OrdóñezSergio García-VegaCésar Germán Castellanos-DomínguezPublished in: IWINAC (1) (2013)
Keyphrases
- motion tracking
- spectral clustering
- kernel pca
- normalized cut
- motion analysis
- degrees of freedom
- laplacian matrix
- clustering method
- data clustering
- human motion tracking
- affinity matrix
- pairwise
- graph laplacian
- eigendecomposition
- image segmentation
- kernel function
- k means
- similarity matrix
- clustering algorithm
- constrained spectral clustering
- graph partitioning
- kernel methods
- feature space
- body parts
- mobile robot
- support vector
- kernel machines
- three dimensional