@techreport{oai:ipsj.ixsq.nii.ac.jp:00220300,
 author = {坂井, 甚太 and 宍戸, 英彦 and 北原, 格 and Jinta, Sakai and Hidehiko, Shishido and Itaru, Kitahara},
 issue = {36},
 month = {Sep},
 note = {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., 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.},
 title = {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},
 year = {2022}
}