抄録
This paper proposes a method for reconstructing 3D ball trajectories by using multiple temporally and geometrically uncalibrated cameras. To use cameras to measure the trajectory of a fast-moving object, such as a ball thrown by a pitcher, the cameras must be temporally synchronized and their position and orientation should be calibrated. In some cases, these conditions cannot be met, e.g., one cannot geometrically calibrate cameras when one cannot step into a baseball stadium. The basic idea of the proposed method is to use a ball captured by multiple cameras as a corresponding point. The method first detects a ball. Then, it estimates temporal difference between cameras. After that, the ball positions are used as corresponding points for geometrically calibrating the cameras. Experiments using actual pitching videos verify the effectiveness of our method.
本文言語 | English |
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ホスト出版物のタイトル | Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 |
出版社 | IEEE Computer Society |
ページ | 164-169 |
ページ数 | 6 |
巻 | 2017-July |
ISBN(電子版) | 9781538607336 |
DOI | |
出版ステータス | Published - 2017 8月 22 |
イベント | 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 - Honolulu, United States 継続期間: 2017 7月 21 → 2017 7月 26 |
Other
Other | 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017 |
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国/地域 | United States |
City | Honolulu |
Period | 17/7/21 → 17/7/26 |
ASJC Scopus subject areas
- コンピュータ ビジョンおよびパターン認識
- 電子工学および電気工学