Dynamic Background Modeling and Foreground Detection using Orthogonal Projection onto the Subspace of Moving Objects.
Vishruth B. GGopalakrishna MTMegha JPublished in: IC3 (2023)
Keyphrases
- background modeling
- foreground detection
- moving objects
- subspace learning
- background subtraction
- moving object detection
- video surveillance
- background model
- linear subspace
- object tracking
- varying illumination
- dynamic background
- motion detection
- dimensionality reduction
- foreground objects
- complex background
- video sequences
- surveillance system
- foreground segmentation
- low dimensional
- particle filter
- dynamic scenes
- motion segmentation
- object detection
- detection algorithm
- face recognition
- image sequences
- manifold learning
- principal component analysis
- multi camera
- motion estimation
- sparse coding
- human detection
- sparse representation
- moving target
- moving camera
- optical flow
- motion parameters