Paper Abstract and Keywords |
Presentation |
2020-03-05 16:10
3D pose estimation using OpenPose and depth data for endoscope operation analysis Yuki Abe, Katsuya Kondo, Kazu Mishiba (Tottori Univ. Eng.), Tomohiro Shimoda (MICOTO Tech.), Masashi Fujii, Kazutake Uehara (Tottori Univ. Hospital), Masaru Ueki (Tottori Univ. Med.) SIS2019-46 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This report relates to a method for accurately extracting key points of 3dimensional(3D) posture of an operator when analyzing 3D motion from an endoscope operation video captured by a single camera.
In particular, we verify whether the motion analysis of the endoscope operation can be performed by a single camera capture system.
In 3D pose estimating by only 2D pose estimation(OpenPose), erroneous estimate occurs.
We propose a method that estimates the motion of the endoscope operation together with OpenPose after the depth data estimated from 2D image.
Experimental results show that important key points of posture can be effectively estimated by the proposed method, and it is useful for analyzing the motion of endoscope operation. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
endoscope operation / pose estimation / motion analysis / OpenPose / 3d-pose-baseline / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 458, SIS2019-46, pp. 51-56, March 2020. |
Paper # |
SIS2019-46 |
Date of Issue |
2020-02-27 (SIS) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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SIS2019-46 |
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