Improvement of mean shift tracking performance using a convex kernel function and extracting motion information.
Amir Hooshang MazinanA. Amir-LatifiPublished in: Comput. Electr. Eng. (2012)
Keyphrases
- kernel function
- support vector
- positive semidefinite
- kernel methods
- feature space
- kernel matrix
- support vector machine
- input space
- support vector regression
- mean shift
- kernel learning
- kernel machines
- optimal kernel
- positive definite
- high dimensional
- high dimensional feature space
- hyperplane
- multiple kernel learning
- feature set
- piecewise linear
- convex relaxation
- reproducing kernel hilbert space
- polynomial kernels
- dot product
- kernel matrices
- convex optimization
- feature selection
- machine learning
- kernel based nonlinear
- kernel parameters
- kernel pca
- semidefinite programming
- support vectors
- convex hull
- linear combination