A Diffusion Dimensionality Reduction Approach to Background Subtraction in Video Sequences.
Dina DushnikAlon SchclarAmir AverbuchRaid SaabniPublished in: IJCCI (2020)
Keyphrases
- background subtraction
- dimensionality reduction
- video sequences
- moving objects
- foreground objects
- image sequences
- moving camera
- dynamic scenes
- dynamic background
- video surveillance
- motion detection
- surveillance system
- high dimensional
- object detection
- low dimensional
- background model
- high dimensional data
- appearance model
- foreground detection
- object tracking
- pattern recognition
- unsupervised learning
- detection of moving objects
- motion estimation
- video data
- gaussian mixture model
- space time
- feature extraction
- background image
- frame rate
- motion segmentation
- camera motion
- principal component analysis
- video camera
- feature selection
- manifold learning
- subspace learning
- traffic monitoring
- moving object detection
- post processing
- feature space
- gait recognition
- pixel wise
- optical flow
- human motion
- video segmentation
- shadow detection
- background modeling
- data points
- static camera
- multi view