Recovering ball motion from a single motion-blurred image

  • Authors:
  • Vincenzo Caglioti;Alessandro Giusti

  • Affiliations:
  • Dipartimento di Elettronica e Informazione, Politecnico di Milano, P.za Leomardo da Vinci, 32, 20133 Milano, Italy;Dipartimento di Elettronica e Informazione, Politecnico di Milano, P.za Leomardo da Vinci, 32, 20133 Milano, Italy

  • Venue:
  • Computer Vision and Image Understanding
  • Year:
  • 2009

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Abstract

Motion blur often affects the ball image in photographs and video frames in many sports such as tennis, table tennis, squash and golf. In this work, we operate on a single calibrated image depicting a moving ball over a known background, and show that motion-blurred ball images, usually unwelcome in computer vision, bear more information than a sharp image. We provide techniques for extracting such information ranging from low-level image processing to 3D reconstruction, and present a number of experiments and possible applications, such as ball localization with speed and direction measurement from a single image, and ball trajectory reconstruction from a single long-exposure photograph.