Tracking People in Broadcast Sports

  • Angela Yao
  • Dominique Uebersax
  • Juergen Gall
  • Luc Van Gool
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6376)

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.

Keywords

Gall Estima 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Angela Yao
    • 1
  • Dominique Uebersax
    • 1
  • Juergen Gall
    • 1
  • Luc Van Gool
    • 1
    • 2
  1. 1.ETH ZurichSwitzerland
  2. 2.KU LeuvenBelgium

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