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Prediction of Foul Ball Falling Spot in a Base Ball Game.

Authors :
Khosla, Rajiv
Howlett, Robert J.
Jain, Lakhmi C.
Takajo, Hideyuki
Fukumi, Minoru
Akamatsu, Norio
Source :
Knowledge-Based Intelligent Information & Engineering Systems (9783540288947); 2005, p1255-1260, 6p
Publication Year :
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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540288947
Database :
Supplemental Index
Journal :
Knowledge-Based Intelligent Information & Engineering Systems (9783540288947)
Publication Type :
Book
Accession number :
32914478
Full Text :
https://doi.org/10.1007/11552413_179