Detection of Moving Object in Dynamic Background Using Gaussian Max-Pooling and Segmentation Constrained RPCA.
Yang LiGuangcan LiuShengyong ChenPublished in: CoRR (2017)
Keyphrases
- foreground detection
- background modeling
- dynamic background
- background subtraction
- moving objects
- moving object detection
- detection of moving objects
- video surveillance
- detection algorithm
- object detection
- background model
- motion detection
- human detection
- video sequences
- gaussian mixture model
- object tracking
- motion segmentation
- complex background
- varying illumination
- subspace learning
- image sequences
- mixture of gaussians
- foreground objects
- segmentation algorithm
- surveillance system
- medical images
- visual surveillance
- image segmentation
- moving camera
- optical flow
- multi camera
- camera motion
- level set
- pixel wise
- computer vision
- motion field
- appearance model
- spatio temporal
- multiscale
- maximum likelihood