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A Robust Multiple Object Tracking for Sport Applications





This paper deals with the task of tracking several similar looking athletes during a competition, using only a single camera. Due to the wide range of possible motions, non-rigid shape changes and mutual occlusions the tracking situations can become quite complex. We propose a novel method to use a high dimensional motion model for a particle filter without drastic increase in runtime. Integral histograms are extended to handle also rotated objects. In order to deal effectively with overlapping players we propose a re-weighting and re-sampling method for a particle filter. The paper is primarily designed for beach volleyball but is also evaluated on public available football sequences.


Publications:

Result videos:
Example videos show tracking results on multi-object sport scenes.

Download Results of the proposed global re-sampling scheme during mutual occlusions of baech volleyball players. Download Results of the proposed global re-sampling scheme during mutual occlusions of soccer players.
Download Handling of occlusions during tracking, showing the effect of using an background model to avoid particle drifting to the surrounding. Download Tracking of athletes during competition, including jumps and rotation.
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