Moving Object Detection under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition.
Moein ShakeriHong ZhangPublished in: CoRR (2019)
Keyphrases
- tensor decomposition
- low rank
- moving object detection
- video surveillance
- missing data
- high order
- matrix factorization
- low rank matrix
- linear combination
- convex optimization
- rank minimization
- singular value decomposition
- background modeling
- data representation
- trace norm
- background subtraction
- semi supervised
- matrix completion
- varying illumination
- moving objects
- moving camera
- tensor factorization
- high dimensional data
- dynamic background
- illumination invariant
- collaborative filtering
- color constancy
- image sequences
- data sets
- illumination conditions
- higher order
- partial occlusion
- sparse coding
- event detection