| Title: | GS6-4 Human Pose Estimation from Egocentric Videos |
|---|---|
| Publication: | ICAROB2025 |
| Volume: | 30 |
| Pages: | 937-940 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2025.GS6-4 |
| Author(s): | Shunya Egashira, Yui Tanjo |
| Publication Date: | February 13, 2025 |
| Keywords: | Egocentric, Posture Estimation, Epipolar Geometry, Rotation Angles |
| Abstract: | According to a survey conducted by the Ministry of Health, Labour and Welfare in 2019, about 30% of patients suffer from back pain and stiff shoulders. Although researches on pose estimation have been conducted for a long time, they cannot be used for daily pose estimation, because they need fixed cameras to capture target/subject motion. To solve this problem, the present paper, proposes a novel pose estimation method from egocentric videos using Epipolar Geometry. It computes three rotational angles, i.e., pitch, yaw and roll, from the egocentric motion videos to evaluate differences from his/her normal motion. In the experiment, three egocentric videos were used to verify the performance and effectiveness of the proposed method and reasonable/satisfactory results were obtained. |
| PDF File: | https://alife-robotics.co.jp/members2025/icarob/data/html/data/GS/GS6/GS6-4.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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