Generating ball trajectory in soccer video sequences

Jinchang Ren, J. Orwell, G. Jones

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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This paper demonstrates innovative techniques for estimating the trajectory
of a soccer ball, using fixed cameras with constant calibration parameters.
In contrast with broadcast coverage, for fixed camera data, the ball is often
rendered with poor resolution away from the image centre. The rapidly moving
ball is subject to motion-blur, caused by finite shutter speeds and interlaced
fields, resulting in variable shape, size and colour. The velocity estimated from
Kalman tracking is used in both normalising ball size and filtering the ball from
false alarms. Furthermore, occlusion-reasoning and tracking-back methods are
utilized to estimate its position when it is occluded, and also to remove false
alarms. Finally, temporal hysteresis based thresholding of the ball likelihood is
applied for trajectory filtering to improve the robustness and continuity of the
tracked ball. Promising experimental results from several long sequences are
Original languageEnglish
Title of host publicationCVBASE '06: ECCV Computer Vision Based Analysis in Sport Environments workshop
Publication statusPublished - 2006


  • ball trajectory
  • soccer
  • tracking


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