Improved Background Subtraction-based Moving Vehicle Detection by Optimizing Morphological Operations using Machine Learning.
Zakaria CharouhMounir GhoghoZouhair GuennounPublished in: INISTA (2019)
Keyphrases
- background subtraction
- morphological operations
- frame differencing
- machine learning
- moving vehicle detection
- mathematical morphology
- gray scale
- moving objects
- foreground objects
- structuring elements
- surveillance system
- background model
- binary images
- video surveillance
- image enhancement
- input image
- image sequences
- motion detection
- object detection
- edge detection
- post processing
- gaussian mixture model
- dynamic scenes
- appearance model
- moving camera
- moving object detection
- image processing
- pattern recognition
- computer vision
- vehicle detection
- background modeling
- real time