HiroPoseEstimation: A Dataset of Pose Estimation for Kid-Size Humanoid Robot
Pose estimation is a field of computer vision research that involves detecting, associating, and tracking data points on body parts. It is used for health monitoring, sign language understanding, human gesture control, elderly activities, sports, and humanoid robot pose estimation. The anatomy of a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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University of Brawijaya
2023-12-01
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| Series: | JITeCS (Journal of Information Technology and Computer Science) |
| Online Access: | https://jitecs.ub.ac.id/index.php/jitecs/article/view/568 |
| _version_ | 1797248835883368448 |
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| author | Amik Rafly Azmi Ulya Nathanael Hutama Harsono Eko Mulyanto Yuniarno Mauridhi Hery Purnomo |
| author_facet | Amik Rafly Azmi Ulya Nathanael Hutama Harsono Eko Mulyanto Yuniarno Mauridhi Hery Purnomo |
| author_sort | Amik Rafly Azmi Ulya |
| collection | DOAJ |
| description |
Pose estimation is a field of computer vision research that involves detecting, associating, and tracking data points on body parts. It is used for health monitoring, sign language understanding, human gesture control, elderly activities, sports, and humanoid robot pose estimation. The anatomy of a humanoid robot is similar to a human, which forms the basis for utilizing humanoid robot pose estimation. The Humanoid League is a major domain of the RoboCup competition, featuring soccer matches between humanoid robots. Pose estimation is used to measure the robot’s performance. Nevertheless, there have not been many research done on this subject. A new dataset model needs to be developed to solve the proposed problem. This work introduces HiroPoseEstimation, a kid-size humanoid robot dataset with several types of robots used in various poses based on movements in a soccer game. It is evaluated with both bottomup and top-down approaches using keypoint mask R-CNN and single-stage encoder-decoder model. Both methods demonstrate good performance on the proposed dataset.
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| first_indexed | 2024-04-24T20:20:54Z |
| format | Article |
| id | doaj.art-bad055c03e2f40e7a87eb76157eee211 |
| institution | Directory Open Access Journal |
| issn | 2540-9433 2540-9824 |
| language | English |
| last_indexed | 2024-04-24T20:20:54Z |
| publishDate | 2023-12-01 |
| publisher | University of Brawijaya |
| record_format | Article |
| series | JITeCS (Journal of Information Technology and Computer Science) |
| spelling | doaj.art-bad055c03e2f40e7a87eb76157eee2112024-03-22T08:34:00ZengUniversity of BrawijayaJITeCS (Journal of Information Technology and Computer Science)2540-94332540-98242023-12-018310.25126/jitecs.202383568HiroPoseEstimation: A Dataset of Pose Estimation for Kid-Size Humanoid RobotAmik Rafly Azmi Ulya0Nathanael Hutama Harsono1Eko Mulyanto Yuniarno2Mauridhi Hery Purnomo3Sepuluh Nopember Institute of Technology, SurabayaSepuluh Nopember Institute of Technology, SurabayaSepuluh Nopember Institute of Technology, SurabayaSepuluh Nopember Institute of Technology, Surabaya Pose estimation is a field of computer vision research that involves detecting, associating, and tracking data points on body parts. It is used for health monitoring, sign language understanding, human gesture control, elderly activities, sports, and humanoid robot pose estimation. The anatomy of a humanoid robot is similar to a human, which forms the basis for utilizing humanoid robot pose estimation. The Humanoid League is a major domain of the RoboCup competition, featuring soccer matches between humanoid robots. Pose estimation is used to measure the robot’s performance. Nevertheless, there have not been many research done on this subject. A new dataset model needs to be developed to solve the proposed problem. This work introduces HiroPoseEstimation, a kid-size humanoid robot dataset with several types of robots used in various poses based on movements in a soccer game. It is evaluated with both bottomup and top-down approaches using keypoint mask R-CNN and single-stage encoder-decoder model. Both methods demonstrate good performance on the proposed dataset. https://jitecs.ub.ac.id/index.php/jitecs/article/view/568 |
| spellingShingle | Amik Rafly Azmi Ulya Nathanael Hutama Harsono Eko Mulyanto Yuniarno Mauridhi Hery Purnomo HiroPoseEstimation: A Dataset of Pose Estimation for Kid-Size Humanoid Robot JITeCS (Journal of Information Technology and Computer Science) |
| title | HiroPoseEstimation: A Dataset of Pose Estimation for Kid-Size Humanoid Robot |
| title_full | HiroPoseEstimation: A Dataset of Pose Estimation for Kid-Size Humanoid Robot |
| title_fullStr | HiroPoseEstimation: A Dataset of Pose Estimation for Kid-Size Humanoid Robot |
| title_full_unstemmed | HiroPoseEstimation: A Dataset of Pose Estimation for Kid-Size Humanoid Robot |
| title_short | HiroPoseEstimation: A Dataset of Pose Estimation for Kid-Size Humanoid Robot |
| title_sort | hiroposeestimation a dataset of pose estimation for kid size humanoid robot |
| url | https://jitecs.ub.ac.id/index.php/jitecs/article/view/568 |
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