Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition.
Moein ShakeriHong ZhangPublished in: CVPR (2019)
Keyphrases
- tensor decomposition
- low rank
- moving object detection
- video surveillance
- low rank matrix
- high order
- missing data
- convex optimization
- linear combination
- matrix factorization
- singular value decomposition
- rank minimization
- data representation
- high dimensional data
- moving objects
- background modeling
- background subtraction
- trace norm
- moving camera
- semi supervised
- tensor factorization
- varying illumination
- background model
- matrix completion
- dynamic background
- illumination invariant
- illumination conditions
- single image
- least squares
- lighting conditions
- color constancy
- optical flow
- object recognition
- image segmentation
- computer vision