The goal of the project is to apply computer vision with OpenCV, and maybe depth sensors like Kinect, to keep track of the score at table tennis. Furthermore, data analysis can be made to infer statistics about the players.

brew tap homebrew/science && brew install opencv

The OpenCV is usually installed in /usr/local/Cellar/opencv/.

To use the Python bindings, you must create symlinks in the directory where Python is installed, usually in /Library/Python/2.7/site-packages/, pointing to the OpenCV directory.

sudo ln -s /usr/local/Cellar/opencv/2.4.11/lib/python2.7/site-packages/cv.py /Library/Python/2.7/site-packages/cv.py
sudo ln -s /usr/local/Cellar/opencv/2.4.11/lib/python2.7/site-packages/cv2.so /Library/Python/2.7/site-packages/cv2.so

1. First step: camera calibration
2. Second step: distortion correction
3. Third step: table lines detection
4. Fourth step: ball tracking
5. Fifth step: 3D position calculation with stereovision
   1. calibration

Before	After

Hough transform	Rectangle detection	Hough after k-mean