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Vehicle detection and tracking with affine motion segmentation in stereo video
https://doi.org/10.24517/00008562
https://doi.org/10.24517/000085628bc14d2f-4766-4a31-8adb-70ae9c3a3bbf
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
TE-PR-MIYAMA-M-271.pdf (2.1 MB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2017-10-03 | |||||||||
| タイトル | ||||||||||
| タイトル | Vehicle detection and tracking with affine motion segmentation in stereo video | |||||||||
| 言語 | ||||||||||
| 言語 | eng | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||
| 資源タイプ | journal article | |||||||||
| ID登録 | ||||||||||
| ID登録 | 10.24517/00008562 | |||||||||
| ID登録タイプ | JaLC | |||||||||
| 著者 |
Miyama, Masayuki
× Miyama, Masayuki× Matsuda, Yoshio |
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| 著者別表示 |
深山, 正幸
× 深山, 正幸
× 松田, 吉雄
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| 書誌情報 |
2011 IEEE International Conference on Signal and Image Processing Applications 巻 ICSIPA 2011, 号 6144099, p. 271-276, 発行日 2011-01-01 |
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| ISBN | ||||||||||
| 識別子タイプ | ISBN | |||||||||
| 関連識別子 | 978-145770241-9 | |||||||||
| DOI | ||||||||||
| 関連タイプ | isVersionOf | |||||||||
| 識別子タイプ | DOI | |||||||||
| 関連識別子 | 10.1109/ICSIPA.2011.6144099 | |||||||||
| 出版者 | ||||||||||
| 出版者 | IEEE | |||||||||
| 抄録 | ||||||||||
| 内容記述タイプ | Abstract | |||||||||
| 内容記述 | This paper proposes a novel method for vehicle detection and tracking based on stereo vision, motion analysis, and road detection. Combining stereo vision with motion analysis makes object detection more appropriate than each individual method. Object tracking with motion estimation, which follows the next object detection starting with an initial solution given by the tracking, improves detection accuracy. Road detection with motion segmentation, considering a parallax in stereo vision as a motion, enables on-road vehicle and obstacle detection. All elements constructing the proposed method are founded commonly on affine motion segmentation. Software and hardware implementations become efficient because their parts share the common principal procedure. Simulation results show the proposed method successfully detects and tracks vehicles on moving background in a complicated scene of downtown. © 2011 IEEE. | |||||||||
| 著者版フラグ | ||||||||||
| 出版タイプ | AM | |||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||
