Moving object recognition under simulated prosthetic vision using background-subtraction-based image processing strategies.
Jing WangYanyu LuLiujun GuChuanqing ZhouXinyu ChaiPublished in: Inf. Sci. (2014)
Keyphrases
- background subtraction
- moving objects
- image processing
- gait recognition
- video surveillance
- computer vision
- background image
- moving object detection
- image sequences
- background model
- foreground objects
- motion detection
- surveillance system
- feature extraction
- object recognition
- gaussian mixture model
- object detection
- visual surveillance
- spatio temporal
- video sequences
- dynamic scenes
- static background
- moving camera
- background modeling
- detecting moving objects
- detection of moving objects
- foreground detection
- detection algorithm
- appearance model
- image segmentation
- foreground and background
- static camera
- frame differencing
- motion segmentation
- object tracking
- moving object segmentation
- post processing
- traffic monitoring
- pixel wise
- consecutive frames
- moving target
- motion patterns
- optical flow
- unsupervised learning
- motion field
- remote sensing
- action recognition