| Project/Area Number |
22510177
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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 |
Social systems engineering/Safety system
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| Research Institution | Kyushu Institute of Technology |
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Principal Investigator |
TAN Joo Kooi 九州工業大学, 大学院・工学研究院, 准教授 (40363395)
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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 |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2012: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2011: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2010: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
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| Keywords | 安全システム / 安全支援システム / 交通事故 / 高度道路交通システム(ITS) / 高度道路交通システム（ITS） / 車載ビジョン / 背景推定 / ステレオビジョン / 歩行者検出 / 正規分布法 |
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| Research Abstract |
There are many traffic accidents occurred at an intersection, and there are mainly caused by a driver’ s oversight of pedestrians and cars. T o prevent pedestrians from trafficaccidents, most of the proposed systems detect pedestrians from a car video taken under general urban street or highway environment. This research proposes a hybrid technique employing switching images between single and stereo camera according to the vehicle situation such as whether or not the vehicle is driving or stopping. The technique detects moving objects such as pedestrians and cars at an intersection when the ego car turns right or left, and gives a warning to a driver by analyzing the detected pedestrian’ s behavior. The performance of the proposed technique was examined employing various vehicular video images. In this report, moving objects detection, pedestrian’ s segmentation, pedestrian’s behavior recognition and finally the evaluation of each technique are described.
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