Real image processing by continuous response pixel referring to motion detection in visual system
| Project/Area Number |
24500247
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | National Institute of Technology, Toyama College |
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Principal Investigator |
TSUKADA Akira 富山高等専門学校, 電子情報工学科, 教授 (40236849)
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| Co-Investigator(Kenkyū-buntansha) |
AKITA Jyun-ichi 金沢大学, 電子情報学系, 教授 (10303265)
MAEDA Yoshinobu 新潟大学, 自然科学系, 准教授 (90303114)
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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 |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
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| Keywords | 実像処理 / 錯視 / 神経回路 / 受光素子 / サッケード / イメージセンサ |
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| Outline of Final Research Achievements |
In the present image processing, discrete image sequence is usually employed for the motion detect. In the human visual system, each photoreceptor processes the incident light information with continuous time. We proposed a novel method (called “real scene processing”) that processes a real-world scene with continuous time. The simulation results could explain a spatio-temporal illusion (apparent motion) and suggest the validity of this method. Furthermore, we examined to realize the real scene processing by hardware neuronal circuit model and to design an algorithm to estimate the velocity of a moving object.
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Report
(4 results)
Research Products
(19 results)
