A study on construction of nighttime pedestrian image database and pedestrian detection method
| Project/Area Number |
22500161
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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 | Akita Prefectural University |
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Principal Investigator |
SARUTA Kazuki 秋田県立大学, システム科学技術学部, 准教授 (80282193)
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| Co-Investigator(Kenkyū-buntansha) |
CHEN Guoyue 秋田県立大学, システム科学技術学部, 教授 (20282014)
TERATA Yuki 秋田県立大学, システム科学技術学部, 助教 (40360002)
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| Project Period (FY) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2012: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2011: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2010: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Keywords | コンピュータビジョン / 歩行者検知 / 画像認識 / パターン認識 / データベース / 画像・文章・音声等認識 |
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| Research Abstract |
In this research issue
we have developed a video database of pedestrians at night for research and development.
In addition, we considered methods for pedestrian candidate region extraction
and pedestrian detection in the regions.
We shot the pedestrian image of more than 2,000 people and classified according to their content. We also confirmed the effectiveness and challenges of the candidate region extraction method using a moving amount and direction of movement of the pedestrian. Furthermore, we proposed the background rejection method and the pedestrian detection method that can select and visualize useful features to detect pedestrian, and showed the efficacy for nighttime pedestrian detection.
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Report
(4 results)
Research Products
(13 results)
