Presentation | 2008-01-17 Baseball pitch identification based on ball trajectory and catcher motion Masaki TAKAHASHI, Mahito FUJII, Nobuyuki YAGI, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
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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Committee | PRMU |
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Conference Date | 2008/1/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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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 |