FUNDAMENTAL MOTION MODELING FOR GESTURE RECOGNITION OF LARGE VOCABURARY SIZE
| Project/Area Number |
15500107
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | NAGOYA INSTITUTE OF TECHNOLOGY |
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Principal Investigator |
KITAMURA TADASHI NAGOYA INSTITUTE OF TECHNOLOGY, GRADUATE SCHOOL OF ENGINEERING, PROFESSOR, 工学研究科, 教授 (60114865)
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| Co-Investigator(Kenkyū-buntansha) |
TOKUDA KEIICHI NAGOYA INSTITUTE OF TECHNOLOGY, GRADUATE SCHOOL OF ENGINEERING, PROFESSOR, 工学研究科, 教授 (20217483)
GOTO TOMIO NAGOYA INSTITUTE OF TECHNOLOGY, GRADUATE SCHOOL OF ENGINEERING, ASSOCIATE, 工学研究科, 助手 (20324478)
宮島 千代美 名古屋大学, 大学院・情報科学研究科, 助手 (90335092)
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| Project Period (FY) |
2003 – 2005
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| Project Status |
Completed (Fiscal Year 2005)
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| Budget Amount *help |
¥3,600,000 (Direct Cost: ¥3,600,000)
Fiscal Year 2005: ¥1,000,000 (Direct Cost: ¥1,000,000)
Fiscal Year 2004: ¥1,000,000 (Direct Cost: ¥1,000,000)
Fiscal Year 2003: ¥1,600,000 (Direct Cost: ¥1,600,000)
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| Keywords | HMM / Japanese sign language / Integration method / Hand extraction / Fundamental motion / Context clustering / コンテキストクラスタリング / 最小2乗近似 / 肌色情報 / 日本手話電子辞書 / 主成分分析 / 手話単語認識 / 主成分得点 / ジェスチャー / 肌色検出 / 両手座標 / 画像ベース |
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| Research Abstract |
In this research we have studied following topics and shown effectiveness of the proposed methods.
1.HMM-based Japanese sign language recognition by integrating position and posture information
2.Fast tracking algorithm for hand extraction
3.Fundamental motion modeling by context clustering
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Report
(4 results)
Research Products
(16 results)
