Weighted residual minimization in PCA subspace for visual tracking.
B. K. Shreyamsha KumarM. N. S. SwamyM. Omair AhmadPublished in: ISCAS (2016)
Keyphrases
- visual tracking
- principal component analysis
- principal components analysis
- dimensionality reduction
- principal components
- mean shift
- feature space
- low dimensional
- appearance model
- linear subspace
- particle filtering
- subspace methods
- particle filter
- feature extraction
- lower dimensional
- real time tracking
- subspace learning
- hand tracking
- model based tracking
- video sequences
- robust visual tracking
- linear discriminant analysis
- high dimensional
- face recognition
- multi target tracking
- partial occlusion
- objective function
- object tracking
- appearance modeling
- multi target
- state estimation
- robust tracking
- data association
- subspace clustering
- face images
- robust object tracking
- articulated structures
- graph cuts
- image sequences
- tracking framework
- sequential monte carlo
- image set
- high dimensional data
- bayesian filtering
- image processing