On some convergence properties of the subspace constrained mean shift.
Youness Aliyari GhassabehTamás LinderGlen TakaharaPublished in: Pattern Recognit. (2013)
Keyphrases
- mean shift
- feature space
- graph cuts
- number of iterations required
- object tracking
- superlinear convergence
- target tracking
- visual tracking
- partial occlusion
- improve the convergence speed
- mode seeking
- sampling procedure
- density function
- object localisation
- color image segmentation
- particle filter
- sift features
- kernel density estimate
- convergence speed
- kernel density estimation
- image segmentation algorithm
- bilateral filtering
- kernel density
- color histogram
- low dimensional
- riemannian manifolds
- visual object tracking
- high dimensional data
- principal component analysis
- high dimensional