Camera noise model-based motion detection and blur removal for low-lighting images with moving objects.
Shoulie XieJinghong ZhengZhengguo LiPublished in: ICARCV (2014)
Keyphrases
- motion detection
- static camera
- moving objects
- image sequences
- video surveillance
- detection of moving objects
- detection algorithm
- background subtraction
- distorted images
- surveillance system
- thresholding method
- lighting conditions
- moving camera
- image mosaicing
- camera motion
- camera shake
- object motion
- degraded images
- input image
- object recognition
- blur kernel
- three dimensional
- image classification
- moving regions
- motion blur
- background model
- object tracking
- edge detection
- apparent motion
- face recognition
- image features
- moving target
- dynamic scenes
- static background
- multiple cameras
- flow field
- image restoration
- feature points
- video sequences
- camera calibration
- image quality
- motion estimation
- optical flow