Design of Automatic Motion Capture Algorithm for Yao’s Long Drum Dance Based on Multieye Machine Vision
Aiming at the problems of low accuracy and long time consumption in the existing dance motion automatic capture methods, this study designs an automatic capture algorithm of Yao’s long drum dance based on multieye machine vision. The images of Yao’s long drum dance are collected by the multieye mach...
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| Vydáno v: | Scientific programming Ročník 2022; s. 1 - 10 |
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| Hlavní autor: | |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
New York
Hindawi
27.03.2022
John Wiley & Sons, Inc |
| Témata: | |
| ISSN: | 1058-9244, 1875-919X |
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| Abstract | Aiming at the problems of low accuracy and long time consumption in the existing dance motion automatic capture methods, this study designs an automatic capture algorithm of Yao’s long drum dance based on multieye machine vision. The images of Yao’s long drum dance are collected by the multieye machine vision measurement system, and the image signals under different lighting conditions are processed; on this basis, by determining the dance action image threshold and analyzing the change law of action image signal, the dance action image extraction of Yao’s long drum is completed. By converting the dance action images from different angles, the Euler angle of the images from different angles is determined and fused. On this basis, the observation items of the observation part of the Yao long drum dance action image are set, and the a priori conditions and a posteriori probability of the Yao long drum dance action image preprocessing are determined, so as to obtain the best result of the dance action image, and dance action image preprocessing is completed. According to the preprocessed image, the capture algorithm of area range is designed, the remaining areas to be captured are determined by means of classification, and the automatic capture algorithm design of Yao’s long drum dance is completed. The experimental results show that the motion image captured by the automatic motion capture algorithm of Yao’s long drum dance based on multieye machine vision has high accuracy, and the capture time is long, which is feasible. |
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| AbstractList | Aiming at the problems of low accuracy and long time consumption in the existing dance motion automatic capture methods, this study designs an automatic capture algorithm of Yao’s long drum dance based on multieye machine vision. The images of Yao’s long drum dance are collected by the multieye machine vision measurement system, and the image signals under different lighting conditions are processed; on this basis, by determining the dance action image threshold and analyzing the change law of action image signal, the dance action image extraction of Yao’s long drum is completed. By converting the dance action images from different angles, the Euler angle of the images from different angles is determined and fused. On this basis, the observation items of the observation part of the Yao long drum dance action image are set, and the a priori conditions and a posteriori probability of the Yao long drum dance action image preprocessing are determined, so as to obtain the best result of the dance action image, and dance action image preprocessing is completed. According to the preprocessed image, the capture algorithm of area range is designed, the remaining areas to be captured are determined by means of classification, and the automatic capture algorithm design of Yao’s long drum dance is completed. The experimental results show that the motion image captured by the automatic motion capture algorithm of Yao’s long drum dance based on multieye machine vision has high accuracy, and the capture time is long, which is feasible. |
| Author | Meng, Yan |
| Author_xml | – sequence: 1 givenname: Yan orcidid: 0000-0002-7269-449X surname: Meng fullname: Meng, Yan organization: Wuzhou College Teacher Education College Dance Teaching and Research SectionWuzhouGuangxi 543002China |
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| Cites_doi | 10.3390/s19061464 10.1155/2019/2716975 10.1016/j.measurement.2018.11.052 10.2478/msr-2019-00xx 10.13245/j.hust.181207 10.1016/j.foodchem.2017.09.047 10.1177/1550147718821851 10.3233/jifs-179951 10.1155/2020/8854811 10.1080/10584587.2019.1592066 10.1016/S2095-3119(20)63168-9 10.3788/ope.20182610.2584 10.1109/tii.2017.2705078 10.3788/lop54.021002 10.37247/upm.1.2020.1 10.1038/s41598-019-53796-w 10.1016/j.jmsy.2017.08.002 |
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| Copyright | Copyright © 2022 Yan Meng. Copyright © 2022 Yan Meng. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
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| References | 22 23 24 25 26 27 28 29 E.-q Chen (2) 2020; 41 X. Yun-jiang (15) 2018; 39 R. Ding (7) 2017; 38 Z. Li (11) 2018; 13 S. Chen (1) 2019; 36 H. Zhang (4) 2019; 36 30 Z. Chen (8) 2018; 38 31 12 17 18 19 Z. Song (9) 2020; 32 F. Cai (10) 2018; 38 J. Yin (16) 2018; 40 L. Jiang (3) 2018; 32 Fu-xiang (5) 2019; 19 F. Yun-lu (14) 2018; 39 M. Zhi (13) 2019; 40 6 20 21 |
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| SubjectTerms | Algorithms Cameras Dance Design Euler angles Light Lighting Machine vision Motion capture Preprocessing Signal processing Vision systems |
| Title | Design of Automatic Motion Capture Algorithm for Yao’s Long Drum Dance Based on Multieye Machine Vision |
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