Research Article
Human Motion Attitude Tracking Method Based on Vicon Motion Capture Under Big Data
@INPROCEEDINGS{10.1007/978-3-030-36402-1_41, author={Ze-guo Liu}, title={Human Motion Attitude Tracking Method Based on Vicon Motion Capture Under Big Data}, proceedings={Advanced Hybrid Information Processing. Third EAI International Conference, ADHIP 2019, Nanjing, China, September 21--22, 2019, Proceedings, Part I}, proceedings_a={ADHIP}, year={2019}, month={11}, keywords={Big data technology Vicon motion capture Human body movement posture Tracking method}, doi={10.1007/978-3-030-36402-1_41} }- Ze-guo Liu
Year: 2019
Human Motion Attitude Tracking Method Based on Vicon Motion Capture Under Big Data
ADHIP
Springer
DOI: 10.1007/978-3-030-36402-1_41
Abstract
Aiming at the problem that the human body motion posture cannot be correctly and quickly marked in the conventional method, a human body motion attitude tracking method based on Vicon motion capture under big data is proposed and designed. Under the motion capture filtering algorithm, the human body weight measurement function is constructed by the combination of color, edge and motion features, and different images are selected according to the occlusion between limbs to establish a constrained human motion model, and the model is based on Vicon action. The tracking calculation of the capture realizes the tracking process of the human body motion posture. The effectiveness of the method is determined by the method of experimental argumentation analysis. The results show that the method can track the motion posture of the human body quickly and accurately, and the robustness is better. The tracking accuracy is 13.87% higher than the conventional method.
