| Project/Area Number |
12650427
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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 |
Measurement engineering
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| Research Institution | Tottori University |
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Principal Investigator |
SUGAHARA Kazunori Tottori University, Faculty of Engineering, Associate Professor, 工学部・電気電子工学科, 助教授 (90149948)
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| Co-Investigator(Kenkyū-buntansha) |
KONISHI Ryosuke Tottori University, Faculty of Engineering, Professor, 工学部・電気電子工学科, 教授 (00032269)
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| Project Period (FY) |
2000 – 2001
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| Project Status |
Completed (Fiscal Year 2001)
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| Budget Amount *help |
¥3,400,000 (Direct Cost: ¥3,400,000)
Fiscal Year 2001: ¥1,200,000 (Direct Cost: ¥1,200,000)
Fiscal Year 2000: ¥2,200,000 (Direct Cost: ¥2,200,000)
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| Keywords | Lip Reading / Word Recognition / Noisy Circumstance / FPGA / 音声認識 / 唇形状の時間変化 / 動的輪郭モデル / 隠れマルニフモデル / 隠れマルコフモデル |
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| Research Abstract |
Robotic technology had been developed to provide substitution of simple human operations. However, the importance of assistant behavior according to the human commands instead of the stand-alone behavior has been recognized in recent years. In such cases, a variety of communication methods between human and robots can be considered. The word recognition technique had been developed in several researchers and in calm situation it can be used for practical use. But in noisy circumstances, they are not still applicable and have a number of problems to solve. For word recognition method in noisy circumstances, the lip reading method is investigated in our research. The lip reading method does not require the additional training to utilize it.
In this research, the video images of human speaking are input to the system and the lip shape movements are automatically extracted to provide word recognition parameters. For these automatic extractions of lip shapes of the NTSC video signal rate are realized by hardware realization of the active contour model techniques. For future works, the development of the lip area separation technique from complex background is remained.
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