Item type |
SIG Technical Reports(1) |
公開日 |
2022-09-29 |
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タイトル |
映像作品のカメラワーク数値化に向けたカメラと被写体の位置姿勢推定法 |
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言語 |
en |
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タイトル |
A Method for Estimating Position and Posture between Camera and Subject for Quantifying Camera-Work of Shooting Video |
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言語 |
jpn |
キーワード |
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主題Scheme |
Other |
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主題 |
計測・認証2 |
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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筑波大学システム情報工学研究群 |
著者所属 |
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筑波大学計算科学研究センター |
著者所属 |
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筑波大学計算科学研究センター |
著者所属(英) |
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en |
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University of Tsukuba |
著者所属(英) |
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en |
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Center for Computational Sciences, University of Tsukuba |
著者所属(英) |
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en |
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Center for Computational Sciences, University of Tsukuba |
著者名 |
坂井, 甚太
宍戸, 英彦
北原, 格
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著者名(英) |
Jinta, Sakai
Hidehiko, Shishido
Itaru, Kitahara
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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 |
Since camera work is positioned as an important technique that emphasizes the atmosphere and impression of a scene, it has attracted attention as an important element of video analysis. In this paper, we propose a method to estimate the position and posture of the subject and camera for camera work quantification. By applying Structure from Motion (SfM) to monocular video, the 3D information of the scene and the camera position and posture were obtained. The 3D human pose estimation was also used to estimate the posture of the subject from the images. We applied the proposed method to videos of dynamic scenes and evaluated the accuracy of estimating the position and posture of the subject and camera. |
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 |
Since camera work is positioned as an important technique that emphasizes the atmosphere and impression of a scene, it has attracted attention as an important element of video analysis. In this paper, we propose a method to estimate the position and posture of the subject and camera for camera work quantification. By applying Structure from Motion (SfM) to monocular video, the 3D information of the scene and the camera position and posture were obtained. The 3D human pose estimation was also used to estimate the posture of the subject from the images. We applied the proposed method to videos of dynamic scenes and evaluated the accuracy of estimating the position and posture of the subject and camera. |
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 |
AA12049625 |
書誌情報 |
研究報告エンタテインメントコンピューティング(EC)
巻 2022-EC-65,
号 36,
p. 1-6,
発行日 2022-09-29
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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 |
2188-8914 |
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 |