Improving OR-PCA via smoothed spatially-consistent low-rank modeling for background subtraction.
Sajid JavedThierry BouwmansSoon Ki JungPublished in: SAC (2017)
Keyphrases
- background subtraction
- low rank
- singular value decomposition
- moving objects
- matrix factorization
- convex optimization
- image sequences
- video surveillance
- missing data
- background model
- linear combination
- principal component analysis
- motion detection
- foreground objects
- human detection
- foreground detection
- dynamic scenes
- object detection
- high dimensional data
- shadow detection
- moving camera
- semi supervised
- background modeling
- gaussian mixture model
- post processing
- low dimensional
- moving object detection
- foreground segmentation
- three dimensional
- dimensionality reduction
- appearance model
- high order
- dynamic background
- small number