Automatic Golf Ball Trajectory Reconstruction and Visualization

  • Tadej Zupančič
  • Aleš Jaklič
Conference paper

DOI: 10.1007/978-3-642-01811-4_14

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5496)
Cite this paper as:
Zupančič T., Jaklič A. (2009) Automatic Golf Ball Trajectory Reconstruction and Visualization. In: Gagalowicz A., Philips W. (eds) Computer Vision/Computer Graphics CollaborationTechniques. MIRAGE 2009. Lecture Notes in Computer Science, vol 5496. Springer, Berlin, Heidelberg

Abstract

The article presents the steps required to reconstruct a 3D trajectory of a golf ball flight, bounces and roll in short game. Two video cameras were used to capture the last parts of the trajectories including the bounces and roll. Each video sequence is processed and the ball is detected and tracked until is stops. Detected positions from both video sequences are then matched and 3D trajectory is obtained and presented as an X3D model.

Keywords

tracking golf stereo trajectory 3D video 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Tadej Zupančič
    • 1
  • Aleš Jaklič
    • 1
  1. 1.Faculty of Computer and Information Science, Computer Vision LaboratoryUniversity of LjubljanaLjubljanaSlovenia

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