Soccer Ball Tracking and StroMotion Computer Vision Final Project Presentation Rich Nguyen Present Date: 11/27/07
Overview <ul><li>Problem Statement </li></ul><ul><li>Related Techniques </li></ul><ul><li>Innovative Approach </li></ul><u...
Problem Statement <ul><li>Viewing sport would be so much more enjoyable if the spectators can see how rapid ball movement ...
StroMotion <ul><li>Is the decomposition of the image. </li></ul><ul><li>Allows the viewers to appreciate the evolution of ...
Related Techniques <ul><li>Pre-processing technique </li></ul><ul><li>Template Matching </li></ul><ul><li>Histogram Analys...
Innovative Approach <ul><li>Basic Processing </li></ul><ul><li>Template Matching </li></ul><ul><li>Connected Component Lab...
1. Basic Processing <ul><li>Grayscale converting </li></ul><ul><li>Smoothing </li></ul><ul><li>Normalizing </li></ul>
2. Template Matching <ul><li>Create ball template </li></ul><ul><li>Convolute ball template over the pre-processed frame. ...
3. Component Labeling <ul><li>Create histogram for filtered image </li></ul><ul><li>Take highest response score pixels. </...
4. Region Segmenting <ul><li>Calculate the area and center of mass of each component. </li></ul><ul><li>1 st  frame, take ...
5. Contour Tracking <ul><li>Resample the region to equal to ball size. </li></ul><ul><li>Save the centroid as the ball pos...
6. StroMotion Display <ul><li>Use a “clipboard” to keep track of all ball image from previous frame. </li></ul><ul><li>Pas...
Experimental Results <ul><li>Ground Truth Collection method. </li></ul><ul><li>Compute the accuracy of the predicted cente...
Additional Information <ul><li>StroMotion on  www.dartfish.com </li></ul><ul><li>Sports Tracking Consultant on  www.sportv...
Suggestions/ Questions Thank you. I hope you all enjoy it ! Thank you. I hope you enjoyed it !
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Soccer Ball Tracking

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Soccer Ball Tracking http://fcl.uncc.edu/nhnguye1/balltracking.html

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Transcript of "Soccer Ball Tracking"

  1. 1. Soccer Ball Tracking and StroMotion Computer Vision Final Project Presentation Rich Nguyen Present Date: 11/27/07
  2. 2. Overview <ul><li>Problem Statement </li></ul><ul><li>Related Techniques </li></ul><ul><li>Innovative Approach </li></ul><ul><li>Experimental Plan </li></ul><ul><li>Additional Information </li></ul>
  3. 3. Problem Statement <ul><li>Viewing sport would be so much more enjoyable if the spectators can see how rapid ball movement broken down. </li></ul>
  4. 4. StroMotion <ul><li>Is the decomposition of the image. </li></ul><ul><li>Allows the viewers to appreciate the evolution of the movements of the ball in a manner intuitive and immediate. </li></ul>► ►
  5. 5. Related Techniques <ul><li>Pre-processing technique </li></ul><ul><li>Template Matching </li></ul><ul><li>Histogram Analysis </li></ul><ul><li>Connected Component Labeling </li></ul><ul><li>Nearest Neighbor </li></ul>
  6. 6. Innovative Approach <ul><li>Basic Processing </li></ul><ul><li>Template Matching </li></ul><ul><li>Connected Component Labeling </li></ul><ul><li>Region-based Segmenting </li></ul><ul><li>Contour Tracking </li></ul><ul><li>StroMotion Displaying </li></ul>
  7. 7. 1. Basic Processing <ul><li>Grayscale converting </li></ul><ul><li>Smoothing </li></ul><ul><li>Normalizing </li></ul>
  8. 8. 2. Template Matching <ul><li>Create ball template </li></ul><ul><li>Convolute ball template over the pre-processed frame. </li></ul>
  9. 9. 3. Component Labeling <ul><li>Create histogram for filtered image </li></ul><ul><li>Take highest response score pixels. </li></ul><ul><li>Do connected component labeling. </li></ul>
  10. 10. 4. Region Segmenting <ul><li>Calculate the area and center of mass of each component. </li></ul><ul><li>1 st frame, take the largest area. </li></ul><ul><li>2 nd frame and on, take the area nearest to the previous frame. </li></ul>
  11. 11. 5. Contour Tracking <ul><li>Resample the region to equal to ball size. </li></ul><ul><li>Save the centroid as the ball position. </li></ul><ul><li>Draw the perimeter pixels as contour. </li></ul>
  12. 12. 6. StroMotion Display <ul><li>Use a “clipboard” to keep track of all ball image from previous frame. </li></ul><ul><li>Paste clipboard image to the current frame. </li></ul>
  13. 13. Experimental Results <ul><li>Ground Truth Collection method. </li></ul><ul><li>Compute the accuracy of the predicted center of the ball in comparison with GT. </li></ul>
  14. 14. Additional Information <ul><li>StroMotion on www.dartfish.com </li></ul><ul><li>Sports Tracking Consultant on www.sportvision.com </li></ul>► ►
  15. 15. Suggestions/ Questions Thank you. I hope you all enjoy it ! Thank you. I hope you enjoyed it !

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