The document summarizes a ball tracking project conducted by Team C consisting of 5 members from various universities. The goal of the project was to track a ball during a foosball match and generate game statistics. The team used video input and processed the frames to first identify the region of interest on the foosball table, then locate the ball within each frame using color and shape detection methods. They presented initial results and plans to improve the project with a stationary vertical camera under better lighting conditions.

1. Tracking ball
19th Summer School on Image Processing
The very best Ball Tracking Project
Team C

2. The Team
• Boris Trubic
(University of Zagreb, Croatia)
• Csaba Horváth
(MTA SZTAKI, Hungary)
• Gábor Könyvesi
(Óbuda University, Hungary)
• Helga Najzer
(University of Szeged, Hungary)
• Henrique Tomaz do Amaral Silva
(University of Sao Paulo, Brazil)

3. The Project
• Goal: track the ball and make statistics of the game
• Chosen case/game: foosball match
• Input: self made video sequence
• Output: the most important statistics
• Further information (diary) on our web page 

4. 1. Finding region of interest
1. Find table
2. Discard possible objects outside (hands)
Used methods

5. 2. Find ball
1. Color finding
1. Transform RGB  HSV
2. Thresholding H, S
3. Multiple possible regions
2. Shape finding
1. Find edges
2. Hough transform
3. Count goals (from last known position)
Used methods

6. Final results

7. Further plans
• Vertical camera
• Stationery camera
• Better light conditions
• Better background modelling

8. The End
Thank you for your attention!