Outlier Removal for Player Identification in Interactive Sport Scenes Using Region Analysis

نویسنده

  • E. L. Andrade
چکیده

This paper demonstrates the use of segmentation, tracking, and number recognition of sport players for the provision of augmented information in moving sequences. Using prior knowledge of colour distribution the players and associated numbers are extracted for characterisation. The optical character recognition algorithms exploit multiple instances of the same character applying temporal filters to enhance reliability. Temporal analysis of the segmentation statistics provides a strong cue to the reliability of number isolation, and confirms data integrity prior to classification. Reliable segmentation, tracking and number recognition for varying scale, orientation, and motion are shown.

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تاریخ انتشار 2003