Introduction to image and video segmentation
Part1 – Image segmentation
- Introduction
- Threshold-based segmentation
Using histogram extrema
Otsu’s method
K-means algorithm
Optimal thresholding
Histogram estimation
Enhancing threshold segmentation
Case of use – Soccer playing field segmentation
The Hough transform
Watershed segmentation
Active contours (snakes)
Case of use – TSLAB
Case of use – Line mark detection
Part 2 – Foreground segmentation
- Introduction
- Difference-based detection
- Temporal median filtering
- Single Gaussian Modeling
- Gaussian Mixture Models
- KDE-based modeling
o Evaluation
- Shadow detection
- Stationary foreground detection
