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Tracking ball
19th Summer School on Image Processing
The very best Ball Tracking Project
Team C
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)
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 
1. Finding region of interest
1. Find table
2. Discard possible objects outside (hands)
Used methods
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
Final results
Further plans
• Vertical camera
• Stationery camera
• Better light conditions
• Better background modelling
The End
Thank you for your attention!

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ball_tracking

  • 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
  • 7. Further plans • Vertical camera • Stationery camera • Better light conditions • Better background modelling
  • 8. The End Thank you for your attention!