Moving object detection based on optical flow and neural network fusion.
Haiqun QinZiyang ZhenKun MaPublished in: Int. J. Intell. Comput. Cybern. (2016)
Keyphrases
- moving object detection
- optical flow
- moving camera
- moving objects
- video surveillance
- background subtraction
- image sequences
- data fusion
- motion field
- background modeling
- video sequences
- d scene
- camera motion
- motion parameters
- foreground objects
- motion model
- least squares
- surveillance system
- dynamic scenes
- motion segmentation
- multi sensor
- video camera
- computer vision
- motion estimation
- object detection
- background model
- visual surveillance
- vector field