A Survey of Background Modeling Based on Robust Subspace Learning via Sparse and Low-rank Matrix Decomposition.
Chaochao XieYan YanHanzi WangLili LinRui WangPublished in: ICIMCS (2016)
Keyphrases
- subspace learning
- background modeling
- low rank approximation
- dimensionality reduction
- manifold learning
- principal component analysis
- data representation
- face recognition
- low dimensional
- semi supervised
- high dimensional data
- sparse representation
- learning algorithm
- linear subspace
- object detection
- varying illumination
- higher order
- background subtraction
- probabilistic model
- high dimensional
- feature space
- image sequences