A Study on Robotic Attention for Action Detection based on Scanpath Theory
| Project/Area Number |
20500182
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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 | Tohoku Institute of Technology |
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Principal Investigator |
FUJITA Toyomi Tohoku Institute of Technology, 工学部・知能エレクトロニクス学科, 准教授 (90293141)
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2010: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2009: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2008: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
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| Keywords | ロボット注視機能 / Scanpath / 関心領域 / 眼球運動 / 他者動作検知 / ロボット視覚 / 注視機能 / 他者動作認識 |
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| Research Abstract |
This study investigated human visual scanpath features in a scene of robot hand movement. Human regions-of-interest (hROIs) were measured in psychophysical experiments and compared using a positional similarity index on the basis of scanpath theory. Results showed consistent hROI loci due to dominant top-down active looking in such a scene. This study also presented a method for detecting hROIs which used both bottom-up and top-down image processing algorithms (IPAs). Algorithmic regions-of-interest (aROIs) generated by this method were compared to the hROIs. The results showed that the IPAs have a high ability to predict hROIs and to detect actions of a partner robot.
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Report
(4 results)
Research Products
(22 results)
