Study on Language generation and learning from videos
| Project/Area Number |
24650084
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Kobe University |
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Principal Investigator |
ARIKI Yasuo 神戸大学, 都市安全研究センター, 教授 (10135519)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2014: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2013: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2012: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | 状況理解 / 画像認識 / 音声認識 / 機械学習 / HMM / 抽出 / 追跡 / メディア変換 / 画像情報処理 / イベント検出 / イベント認識 / 言語表現 / オクルーション / 時間状況グラフ / パーティクルフィルター |
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| Outline of Final Research Achievements |
We developed a system which can extract and track a ball and players on videos of soccer sports games captured by four HD cameras. Based on their tracking results, four events such as “goal kick”, “corner kick”, “free kick” and “through-in” can be recognized with high accuracy by Hidden Markov Model (HMM). We carried out the researches of digital camerawork and commentary generation, and then got the prospects for automatic learning of game rules through this study.
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Report
(4 results)
Research Products
(8 results)
