Development of a System Measuring Vehicle Motions on Video Images
| Project/Area Number |
05555148
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| Research Category |
Grant-in-Aid for Developmental Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
交通工学・国土計画
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| Research Institution | Tokyo University |
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Principal Investigator |
KUWAHARA Masao Univ.of Tokyo, Institute of Industrial Science, Associate Professor, 生産技術研究所, 助教授 (50183322)
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| Co-Investigator(Kenkyū-buntansha) |
AKAHANE Hirokazu Chiba Institute of Technology, Department of Civil Engineering, Professor, 土木工学科, 教授 (60184090)
SHIBAZAKI Ryousuke Univ.of Tokyo, Institute of Industrial Science, Associate Professor, 生産技術研究所, 助教授 (70206126)
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| Project Period (FY) |
1993 – 1995
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| Project Status |
Completed (Fiscal Year 1995)
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| Budget Amount *help |
¥8,500,000 (Direct Cost: ¥8,500,000)
Fiscal Year 1995: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 1994: ¥1,600,000 (Direct Cost: ¥1,600,000)
Fiscal Year 1993: ¥6,400,000 (Direct Cost: ¥6,400,000)
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| Keywords | Image Processing / Automatic Tracking / Video Images / Trajectory of Vehicle Motion |
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| Research Abstract |
This study develops the system of measuring vehicle motion on video images for the purpose of tracking vehicle trajectory. The video images are taken by the video camera being placed on an observation balloon, and covers about 200 meters' expressway section. After we established manual system of measuring, we developed automatic system of measuring and checked the system performance.
In addition to usual observation index observed by traffic detectors such as traffic volume, density and velocity, this system enables to observe micro vehicle motions.
The process of this system are consist of two parts as follows ;
1.Image Transformation
Video Images are transformed to same coordinates as the standard image, by adjusting predetermined standard points.
2.Vehicle Recognition
Using transformed image each vehicles are recognized by comparing brightness with one of background.
The system performance are checked by way of comparing performance of manual system with one of automatic system. In result, rate of vehicle recognition of automatic system is almost equal to one of manual system, however, accuracy of automatic system has some difference mainly caused by recognizing feeble reflective vehicle and tracks to one of manual system.
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Report
(4 results)
Research Products
(6 results)
