1. Real-Time Capture of Snowboarder’s Skiing Motion Using a 3D Vision Sensor
- Author
-
Tao Zhang, Bing Li, Jun Wang, Dave Balne, Xingfu Zhang, Yang Ruizhu, Song Wenli, and Li Zhipeng
- Subjects
Technology ,Article Subject ,Matching (graph theory) ,Computer Networks and Communications ,business.industry ,Computer science ,Fast speed ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,TK5101-6720 ,Capture effect ,Interference (wave propagation) ,Motion capture ,Motion (physics) ,3d vision ,Vision sensor ,Telecommunication ,Computer vision ,Artificial intelligence ,Electrical and Electronic Engineering ,business ,ComputingMethodologies_COMPUTERGRAPHICS ,Information Systems - Abstract
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.
- Published
- 2021