Novel RPCA with nonconvex logarithm and truncated fraction norms for moving object detection.
Yongpeng YangZhenzhen YangJianlin LiPublished in: Digit. Signal Process. (2023)
Keyphrases
- moving object detection
- robust principal component analysis
- foreground detection
- video surveillance
- dynamic background
- background modeling
- moving objects
- background subtraction
- low rank
- moving camera
- convex optimization
- visual surveillance
- motion detection
- background model
- surveillance system
- foreground objects
- subspace learning
- mixture of gaussians
- camera motion
- low rank and sparse
- high dimensional data