Real-Time Capture of Snowboarder’s Skiing Motion Using a 3D Vision Sensor
Due to the influence of environmental interference and too fast speed, there are some problems in ski motion capture, such as inaccurate motion capture, motion delay, and motion loss, resulting in the inconsistency between the actual motion of later athletes and the motion of virtual characters. To...
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Hindawi-Wiley
2021
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oai:doaj.org-article:16f0a56567aa41cd90beaf92a6340a582021-11-29T00:56:40ZReal-Time Capture of Snowboarder’s Skiing Motion Using a 3D Vision Sensor1530-867710.1155/2021/8517771https://doaj.org/article/16f0a56567aa41cd90beaf92a6340a582021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/8517771https://doaj.org/toc/1530-8677Due to the influence of environmental interference and too fast speed, there are some problems in ski motion capture, such as inaccurate motion capture, motion delay, and motion loss, resulting in the inconsistency between the actual motion of later athletes and the motion of virtual characters. To solve the above problems, a real-time skiing motion capture method of snowboarders based on a 3D vision sensor is proposed. This method combines the Time of Fight (TOF) camera and high-speed vision sensor to form a motion acquisition system. The collected motion images are fused to form a complete motion image, and the pose is solved. The pose data is bound with the constructed virtual character model to drive the virtual model to synchronously complete the snowboarding motion and realize the real-time capture of skiing motion. The results show that the motion accuracy of the system is as high as 98.6%, which improves the capture effect, and the motion matching proportion is better and more practical. It is also excellent in the investigation of motion delay and motion loss.Zhipeng LiJun WangTao ZhangDave BalneBing LiRuizhu YangWenli SongXingfu ZhangHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021) |
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Technology T Telecommunication TK5101-6720 Zhipeng Li Jun Wang Tao Zhang Dave Balne Bing Li Ruizhu Yang Wenli Song Xingfu Zhang Real-Time Capture of Snowboarder’s Skiing Motion Using a 3D Vision Sensor |
description |
Due to the influence of environmental interference and too fast speed, there are some problems in ski motion capture, such as inaccurate motion capture, motion delay, and motion loss, resulting in the inconsistency between the actual motion of later athletes and the motion of virtual characters. To solve the above problems, a real-time skiing motion capture method of snowboarders based on a 3D vision sensor is proposed. This method combines the Time of Fight (TOF) camera and high-speed vision sensor to form a motion acquisition system. The collected motion images are fused to form a complete motion image, and the pose is solved. The pose data is bound with the constructed virtual character model to drive the virtual model to synchronously complete the snowboarding motion and realize the real-time capture of skiing motion. The results show that the motion accuracy of the system is as high as 98.6%, which improves the capture effect, and the motion matching proportion is better and more practical. It is also excellent in the investigation of motion delay and motion loss. |
format |
article |
author |
Zhipeng Li Jun Wang Tao Zhang Dave Balne Bing Li Ruizhu Yang Wenli Song Xingfu Zhang |
author_facet |
Zhipeng Li Jun Wang Tao Zhang Dave Balne Bing Li Ruizhu Yang Wenli Song Xingfu Zhang |
author_sort |
Zhipeng Li |
title |
Real-Time Capture of Snowboarder’s Skiing Motion Using a 3D Vision Sensor |
title_short |
Real-Time Capture of Snowboarder’s Skiing Motion Using a 3D Vision Sensor |
title_full |
Real-Time Capture of Snowboarder’s Skiing Motion Using a 3D Vision Sensor |
title_fullStr |
Real-Time Capture of Snowboarder’s Skiing Motion Using a 3D Vision Sensor |
title_full_unstemmed |
Real-Time Capture of Snowboarder’s Skiing Motion Using a 3D Vision Sensor |
title_sort |
real-time capture of snowboarder’s skiing motion using a 3d vision sensor |
publisher |
Hindawi-Wiley |
publishDate |
2021 |
url |
https://doaj.org/article/16f0a56567aa41cd90beaf92a6340a58 |
work_keys_str_mv |
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1718407691727011840 |