Moving Target Detection Based on an Adaptive Low-Rank Sparse Decomposition.
Jiang ChongPublished in: Comput. Informatics (2020)
Keyphrases
- low rank
- moving target detection
- tensor decomposition
- low rank matrix
- rank minimization
- low rank matrices
- infrared
- convex optimization
- low rank representation
- robust principal component analysis
- moving target
- missing data
- singular value decomposition
- regularized regression
- matrix factorization
- high order
- background subtraction
- linear combination
- matrix completion
- high dimensional data
- semi supervised
- sparse matrix
- image sequences
- image processing
- sparse representation
- low dimensional
- dimensionality reduction
- object detection
- high dimensional