3D Human Pose Estimation with a Moving Monocular Camera
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- HORIAI Ryosuke
- Iwate Prefectural University
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- PRIMA Oky Dicky Ardiansyah
- Iwate Prefectural University
Bibliographic Information
- Other Title
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- 移動式単眼カメラによる人物 3 次元姿勢推定
Abstract
The capability of deep learning to generate 3D representations of body joints extracted from a single image has led to the development of 3D human pose estimation with a monocular camera. By representing the joints in the camera coordinate system, the direction, distance, and speed of movement of the person can be quantified, enabling applications in sports and rehabilitation. However, when the target person moves over a wide area, the camera needs to be moved as well, which makes the estimation of the direction, distance, and speed of movement of the person incorrect due to changes in the camera position. This study proposes a 3D human pose estimation without the influence of camera position and verifies the accuracy of the estimation by motion capture.
Journal
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- Reports of the Technical Conference of the Institute of Image Electronics Engineers of Japan
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Reports of the Technical Conference of the Institute of Image Electronics Engineers of Japan 22.04 (0), 118-121, 2023
The Institute of Image Electronics Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390580461190112000
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- ISSN
- 27589218
- 02853957
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed