Improving the tracking ability of KRLS using Kernel Subspace Pursuit.
Jad KabbaraIoannis N. PsaromiligkosPublished in: ICASSP (2014)
Keyphrases
- feature space
- kernel based nonlinear
- kernel space
- mean shift
- object tracking
- high dimensional
- kernel function
- high dimensional data
- real time
- motion analysis
- appearance model
- canonical correlations
- hilbert space
- component analysis
- lower dimensional
- input space
- low dimensional
- dimensionality reduction
- principal component analysis
- feature extraction
- partial occlusion
- motion segmentation
- subspace learning
- kernel pca
- state space