Presentation 2008-01-17
Baseball pitch identification based on ball trajectory and catcher motion
Masaki TAKAHASHI, Mahito FUJII, Nobuyuki YAGI,
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Abstract(in English) In professional baseball, metadata such as ball speed and the count are generated with every pitch. That data is delivered by data broadcasting and the Internet. Experts must create the data manually because automatic pitch identification is difficult. We are therefore developing a system that can identify the type of pitch automatically based on features obtained from professional baseball video. The system measures trajectory shape and change of speed. It also measures the motion of a catcher by using SIFT features. It obtains pitch speed by character recognition from broadcast video. The system classifies pitches with high accuracy using these features.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Pitch identification / Object tracking / SIFT features / Character recognition / Random forests
Paper # PRMU2007-162
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Conference Information
Committee PRMU
Conference Date 2008/1/10(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Baseball pitch identification based on ball trajectory and catcher motion
Sub Title (in English)
Keyword(1) Pitch identification
Keyword(2) Object tracking
Keyword(3) SIFT features
Keyword(4) Character recognition
Keyword(5) Random forests
1st Author's Name Masaki TAKAHASHI
1st Author's Affiliation NHK Science and Technology Research Laboratories()
2nd Author's Name Mahito FUJII
2nd Author's Affiliation NHK Science and Technology Research Laboratories
3rd Author's Name Nobuyuki YAGI
3rd Author's Affiliation NHK Science and Technology Research Laboratories
Date 2008-01-17
Paper # PRMU2007-162
Volume (vol) vol.107
Number (no) 427
Page pp.pp.-
#Pages 6
Date of Issue