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Tracking in Broadcast Sports

A. Yao and D. Uebersax and J. Gall and L. Van Gool
32nd Annual Symposium of the German Association for Pattern Recognition
2010

Abstract

We present a method for tracking people in monocular broadcast sports videos by coupling a particle filter with a vote-based confidence map of athletes, appearance features and optical flow for motion estimation. The confidence map provides a continuous estimate of possible target locations in each frame and outperforms tracking with discrete target detections. We demonstrate the tracker on sports videos, tracking fast and articulated movements of athletes such as divers and gymnasts and on non-sports videos, tracking pedestrians in a PETS2009 sequence.


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@InProceedings{eth_biwi_00773,
  author = {A. Yao and D. Uebersax and J. Gall and L. Van Gool},
  title = {Tracking in Broadcast Sports},
  booktitle = {32nd Annual Symposium of the German Association for Pattern Recognition },
  year = {2010},
  keywords = {}
}