Research on Motion Recognition and Tracking for Space Survey and Launch Tasks

Authors

Bin Ren, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China;Follow
Xiaoyu Wang, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China;

Abstract

Abstract: Space survey and launch task has high precision and long cycle, and needs to be exposed to direct sunlight for a long time, so that the non-contact action calibration and comparison in a virtual working environment is an efficient way to improve the mission completion success rate. Aiming at the real-time motion tracking of aerospace personnel, a keyframe optimization algorithm for the action recognition is proposed. According to the bone data in the depth image, the bone features are extracted, and the keyframes are extracted by the feature threshold. The characteristic data of the keyframe is input into bi-directional long short-term memory to optimize the accuracy of the overall action recognition. Data-driven bone recognition and motion tracking can effectively identify the movements of the aerospace personnel to complete the related tasks more efficiently and safely.

Recommended Citation

Ren, Bin and Wang, Xiaoyu (2022) "Research on Motion Recognition and Tracking for Space Survey and Launch Tasks," Journal of System Simulation: Vol. 34: Iss. 8, Article 2.
DOI: 10.16182/j.issn1004731x.joss.21-0236
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss8/2

First Page

1674

Revised Date

2021-06-23

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-0236

Last Page

1681

CLC

TP212

Recommended Citation

Bin Ren, Xiaoyu Wang. Research on Motion Recognition and Tracking for Space Survey and Launch Tasks[J]. Journal of System Simulation, 2022, 34(8): 1674-1681.

DOI

10.16182/j.issn1004731x.joss.21-0236