Presentation | 2004-12-17 Pitch by pitch event detection using impulse sound detection and moving image clustering. Dan MIKAMI, Seiichi KONYA, Masashi MORIMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we propose a pitching event detection method from baseball videos. The method, at first, detects candidates of pitching event using hitting or catching sound analysis which is expected stable regardless of video capture environment. Then, each candidate is clustered by its motion. The motion template of the pitching event is then generated from the cluster which has the most elements. Final, pitching events are extracted agein using the motion template. Experiments with broadcasted baseball videos and private baseball video, confirm effectiveness of the proposed method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | baseball video / indexing / multi-modal / MHI / clustering |
Paper # | PRMU2004-139 |
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Committee | PRMU |
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Conference Date | 2004/12/10(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | Pitch by pitch event detection using impulse sound detection and moving image clustering. |
Sub Title (in English) | |
Keyword(1) | baseball video |
Keyword(2) | indexing |
Keyword(3) | multi-modal |
Keyword(4) | MHI |
Keyword(5) | clustering |
1st Author's Name | Dan MIKAMI |
1st Author's Affiliation | () |
2nd Author's Name | Seiichi KONYA |
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3rd Author's Name | Masashi MORIMOTO |
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Date | 2004-12-17 |
Paper # | PRMU2004-139 |
Volume (vol) | vol.104 |
Number (no) | 524 |
Page | pp.pp.- |
#Pages | 6 |
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