Paper Info
Title
Real-time Analysis of Baseball Pitching Using Image Processing on Smartphone.
Abstract
Pitching is one of the most important elements of baseball. Therefore, both professional and amateur players are interested in measuring their pitching performance, particularly their pitch speed. Conventional equipment such as radar speed guns can be used to measure pitch speed; however this approach is unpopular among amateur players because of its cost. Therefore, we proposed a vision-based speed-measuring method for baseball pitches and developed a smartphone application called iPhoneSG, which can measure the speed of pitched baseballs on a real baseball diamond in near-real-time using a standalone image-processing technique on the smartphone. Relative to conventional radar speed guns, which must be placed on the extended line of the ball trajectory, iPhoneSG widens the possible area of data acquisition. Considering the popularity of smartphones, iPhoneSG provides players with a convenient means of measuring pitch speeds. We confirmed the basic viability of the proposed method as implemented in our iPhoneSG application.
Year
DOI
Venue
2016
10.1016/j.procs.2016.08.128
KES
Keywords
Field
DocType
Image processing,Mobile computing,Sports,Baseball pitching analysis,Velocity measurement
Mobile computing,Data mining,Computer graphics (images),Computer science,Popularity,Image processing,Real time analysis,Artificial intelligence,Trajectory,Radar,Computer vision,Data acquisition,Amateur
Conference
Volume
Issue
ISSN
96
C
1877-0509
Citations 
PageRank 
References 
1
0.36
0
Authors
2
Name
Order
Citations
PageRank
Yosuke Yamaguchi110.36
Motoki Miura28721.85