Automatic Classification of Tennis Video for High-level Content-based Retrieval

  • Authors:

  • G. Sudhir;John C. M. Lee;Anil K. Jain

  • Affiliations:

  • -;-;-

  • Venue:
  • CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
  • Year:
  • 1998

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Abstract

This paper presents our techniques and results on automatic analysis of tennis video to facilitate content-based retrieval. Our approach is based on the generation of an image model for the tennis court-lines. We derive this model by using the knowledge about dimensions and connectivity (form) of a tennis court and typical camera geometry used when capturing a tennis video. We use this model to develop (i) a court line detection algorithm and (ii) a robust player-tracking algorithm to track the tennis players over the images sequence. We also present a color-based algorithm to select tennis court clips from an input raw footage of tennis video. Automatically extracted tennis court lines and the players' location information are analyzed in a high-level reasoning module and related to useful high-level tennis play events. Results on real tennis video data are presented demonstrating the validity and performance of the approach.