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Prediction of Foul Ball Falling Spot in a Base Ball Game

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Abstract

In baseball games, foul balls sometimes fly into the spectators seats. Some person can be seriously wounded for those balls. This research aims at developing a system which computes the orbit of a foul ball on real time using camera, predicts of the spot where foul balls fall and informs spectators about its danger. Detection of balls consists of the following three steps: At first each frame is processed using a smoothing filter for noise reduction. Next, temporal Laplacian is carried out for a series of those filtered images. Finally, whether a part of a ball or not is judged for each pixel by translating the resultant images into polar coordinates. The pitching motion is also considered. We report a method for prediction of foul ball falling spot with fuzzy inference.

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References

  1. Mamdani, E.H.: Application of Fuzzy Algorithms for Control of a Simple Dynamics Plant. Proc. IEE 121(12), 1585–1588 (1974)

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© 2005 Springer-Verlag Berlin Heidelberg

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Takajo, H., Fukumi, M., Akamatsu, N. (2005). Prediction of Foul Ball Falling Spot in a Base Ball Game. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552413_179

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  • DOI: https://doi.org/10.1007/11552413_179

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28894-7

  • Online ISBN: 978-3-540-31983-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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