Exemplar-based Linear Discriminant Analysis for Robust Object Tracking.
Changxin GaoFeifei ChenJin-Gang YuRui HuangNong SangPublished in: CoRR (2014)
Keyphrases
- linear discriminant analysis
- robust object tracking
- discriminant analysis
- object tracking
- face recognition
- dimensionality reduction
- appearance model
- principal component analysis
- visual tracking
- particle filtering
- dimension reduction
- feature space
- small sample size
- feature extraction
- discriminant features
- high dimensional data
- null space
- support vector machine svm
- support vector
- discriminative information
- fisher criterion
- linear discriminant
- particle filter
- subspace methods
- neural network
- mean shift
- class separability
- scatter matrix
- data points
- high dimensionality
- data sets
- pattern recognition
- sparse representation