A Novel Tensor Robust PCA Approach for Background Subtraction from Compressive Measurements.
Wenfei CaoYao WangJian SunDeyu MengCan YangAndrzej CichockiZongben XuPublished in: CoRR (2015)
Keyphrases
- background subtraction
- dynamic background
- moving objects
- foreground objects
- image sequences
- video surveillance
- background modeling and subtraction
- object detection
- dimensionality reduction
- background model
- surveillance system
- gaussian mixture model
- foreground background segmentation
- principal component analysis
- moving camera
- foreground detection
- background modeling
- face recognition
- dynamic scenes
- motion detection
- foreground segmentation
- appearance model
- object recognition
- traffic monitoring
- post processing
- video sequences
- machine learning
- background image
- detection of moving objects
- foreground and background
- pixel wise
- multi class
- mixture model
- low dimensional
- feature selection