| Item type |
SIG Technical Reports(1) |
| 公開日 |
2021-08-31 |
| タイトル |
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タイトル |
投影画像のフラクタル解析による交差点内での車両の追跡について |
| タイトル |
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言語 |
en |
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タイトル |
Study on the Tracking of Vehicles at Intersection by Fractal Analysis of Projective Image |
| 言語 |
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言語 |
jpn |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
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資源タイプ |
technical report |
| 著者所属 |
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日本大学 |
| 著者所属 |
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日本大学 |
| 著者所属 |
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日本大学 |
| 著者所属 |
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日本大学 |
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日本大学 |
| 著者所属(英) |
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en |
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Nihon University |
| 著者所属(英) |
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en |
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Nihon University |
| 著者所属(英) |
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en |
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Nihon University |
| 著者所属(英) |
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en |
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Nihon University |
| 著者所属(英) |
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en |
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Nihon University |
| 著者名 |
岩渕, 令虎
呉, 一帆
矢澤, 翔大
新妻, 清純
黒岩, 孝
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| 著者名(英) |
Ryogo, Iwabuchi
Yifan, Wu
Syota, Yazawa
Kiyozumi, Niizuma
Takashi, Kuroiwa
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| 論文抄録 |
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内容記述タイプ |
Other |
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内容記述 |
In this study, fractal image analysis of the drone video footage, in order to tracking the vehicles near the intersection is considered. Previously, the analyzed area was limited to squares, but in this study, this problem will be solved by projective transformation. As a result of that, behavior of moving vehicles was indicated by image feature distance of fractal analysis, so that the presented method may be effectual of vehicle tracking. |
| 論文抄録(英) |
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内容記述タイプ |
Other |
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内容記述 |
In this study, fractal image analysis of the drone video footage, in order to tracking the vehicles near the intersection is considered. Previously, the analyzed area was limited to squares, but in this study, this problem will be solved by projective transformation. As a result of that, behavior of moving vehicles was indicated by image feature distance of fractal analysis, so that the presented method may be effectual of vehicle tracking. |
| 書誌レコードID |
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収録物識別子タイプ |
NCID |
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収録物識別子 |
AA11515904 |
| 書誌情報 |
研究報告高度交通システムとスマートコミュニティ（ITS）
巻 2021-ITS-86,
号 6,
p. 1-4,
発行日 2021-08-31
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| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2188-8965 |
| Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
| 出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |
IPSJ-ITS21086006.pdf (745.3 kB)
