Kernel Hierarchical PCA for person re-identification.
Raphael Felipe de Carvalho PratesWilliam Robson SchwartzPublished in: ICPR (2016)
Keyphrases
- person re identification
- principal component analysis
- kernel pca
- metric learning
- feature space
- principle component analysis
- kernel matrix
- sparse coding
- face recognition
- dimensionality reduction
- video surveillance
- feature representation
- feature extraction
- kernel methods
- camera network
- covariance matrix
- support vector
- kernel function
- dimension reduction
- surveillance system
- face images
- visual recognition
- riemannian manifolds
- machine learning
- high dimensional
- locality preserving projections