Rethinking Background And Foreground In Deep Neural Network-Based Background Subtraction.
Tsubasa MinematsuAtsushi ShimadaRin-Ichiro TaniguchiPublished in: ICIP (2020)
Keyphrases
- background subtraction
- foreground objects
- background model
- foreground detection
- foreground segmentation
- background modeling
- foreground and background
- foreground pixels
- moving objects
- background estimation
- background image
- video surveillance
- detection of moving objects
- dynamic background
- surveillance system
- image sequences
- object detection
- foreground background segmentation
- static background
- motion detection
- detecting moving objects
- static camera
- moving object detection
- pixel level
- moving camera
- dynamic scenes
- foreground background
- complex background
- human detection
- background updating
- detect moving objects
- shadow detection
- moving object segmentation
- gaussian mixture model
- post processing
- mixture of gaussians
- traffic monitoring
- appearance model
- object segmentation
- foreground regions
- video sequences
- pixel wise
- foreground and background regions
- video frames
- color distribution
- image segmentation