Regression PCA for Moving Objects Separation.
Huyunting HuangXiang LiuTonglin ZhangBaijian YangPublished in: GLOBECOM (2020)
Keyphrases
- moving objects
- principal component analysis
- sparse regression
- regression model
- principal components analysis
- spatio temporal
- principal components
- image sequences
- principle component analysis
- linear regression
- face recognition
- dimensionality reduction
- motion segmentation
- covariance matrix
- object tracking
- video surveillance
- background subtraction
- video sequences
- canonical correlation analysis
- feature extraction
- feature selection and classification
- partial least squares
- model selection
- face images
- dense optical flow
- regression problems
- dynamic scenes
- independent component analysis
- dimension reduction
- road network
- regression analysis
- feature space
- high dimensional
- regression methods
- optical flow
- machine learning
- discriminant analysis
- support vector regression
- gaussian processes
- negative matrix factorization
- regression function
- computer vision
- blind separation
- moving object detection
- support vector machine
- simple linear
- facial expressions
- detection algorithm
- camera motion
- singular value decomposition