SBMI-LTD: stationary background model initialization based on low-rank tensor decomposition.
Sajid JavedThierry BouwmansSoon Ki JungPublished in: SAC (2017)
Keyphrases
- tensor decomposition
- low rank
- background model
- background subtraction
- background modeling
- moving objects
- convex optimization
- foreground objects
- linear combination
- high order
- missing data
- matrix factorization
- singular value decomposition
- low rank matrix
- matrix completion
- semi supervised
- rank minimization
- high dimensional data
- foreground detection
- gaussian mixture model
- image sequences
- auxiliary information
- video surveillance
- object detection
- k means
- dynamic scenes
- learning algorithm
- moving camera
- probabilistic model
- machine learning
- data sets