Playfield and ball detection in soccer video

  • Authors:
  • Junqing Yu;Yang Tang;Zhifang Wang;Lejiang Shi

  • Affiliations:
  • School of Computer Science & Technology, Huazhong University of Science & Technology, Wuhan, China;Department of Development & Planning, Hubei Electric Power Company, Wuhan;School of Computer Science & Technology, Huazhong University of Science & Technology, Wuhan, China;School of Computer Science & Technology, Huazhong University of Science & Technology, Wuhan, China

  • Venue:
  • ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
  • Year:
  • 2007

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Abstract

The ball is really hard to be detected when it is merged with field lines or players in soccer video. A trajectory based ball detection scheme together with an approach of playfield detection is proposed to solve this problem. Playfield detection plays a fundamental role in semantic analysis of soccer video. An improve Generalized Lloyd Algorithm (GLA) based method is introduced to detect the playfield. Based on the detected playfield, an improved Viterbi algorithm is utilized to detect and track the ball. A group of selected interpolation points are calculated employing least squares method to track the ball in the playfield. An occlusion reasoning procedure is used to further qualify some undetected and false ball positions. The experimental results have verified their effectiveness of the given schema.