Single and Multiple Object Tracking Using Log-Euclidean Riemannian Subspace and Block-Division Appearance Model.
Weiming HuXi LiWenhan LuoXiaoqin ZhangStephen J. MaybankZhongfei ZhangPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2012)
Keyphrases
- log euclidean
- subspace learning algorithm
- covariance matrices
- appearance model
- riemannian metric
- affine invariant
- vector space
- tensor field
- diffusion tensor
- euclidean space
- lie group
- covariance matrix
- low dimensional
- visual tracking
- object appearance
- subspace learning
- object tracking
- riemannian manifolds
- multiple targets
- geometric structure
- particle filter
- infinite dimensional
- feature vectors
- dynamic programming
- multiscale
- optical flow
- feature space