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Soccer Field Detection in Video Images Using Color and Spatial Coherence

  • Arnaud Le Troter
  • Sebastien Mavromatis
  • Jean Sequeira
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3212)

Abstract

We present an original approach based on the joint use of color and spatial coherence to automatically detect the soccer field in video sequences. We assume that the corresponding area is significant enough for that. This assumption is verified when the camera is oriented toward the field and does not focus on a given element of the scene such as a player or the ball. We do not have any assumption on the color of the field. We use this approach to automatically validate the image area in which the relevant scene elements are. This is a part of the SIMULFOOT project whose objective is the 3D reconstruction of the scene (players, referees, ball) and its animation as a support for cognitive studies and strategy analysis.

Keywords

Video Sequence Color Space Video Image Spatial Coherence Discrete Representation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Arnaud Le Troter
    • 1
  • Sebastien Mavromatis
    • 1
  • Jean Sequeira
    • 1
  1. 1.LSIS Laboratory LXAO groupUniversity of MarseillesFrance

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