Journal of System Simulation
Abstract
Abstract: Aiming at the problem that it is difficult to obtain the motion data of each athlete in the short track speed skating competition, an algorithm flow of multiple object tracking and kinematic simulation is proposed. A local matching metric is proposed to deal with the partial occlusion in monocular video and improve the tracking stability and robustness. The motion simulation method based on homography mapping and derivative of fitted curve is realized to estimate kinematic parameters such as velocity and acceleration. The experiments on Skating Track Multiple ObjectTracking (STMOT) verified the effectiveness and superiority of the proposed methods.
Recommended Citation
Qi, Li; Mo, Hanlin; Wang, Xiangdong; and Hua, Li
(2021)
"Multiple Object Tracking and Kinematic Simulation for Short Track Speed Skating,"
Journal of System Simulation: Vol. 33:
Iss.
5, Article 5.
DOI: 10.16182/j.issn1004731x.joss.19-0679
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol33/iss5/5
First Page
1039
Revised Date
2020-07-16
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.19-0679
Last Page
1050
CLC
TP391
Recommended Citation
Li Qi, Mo Hanlin, Wang Xiangdong, Li Hua. Multiple Object Tracking and Kinematic Simulation for Short Track Speed Skating[J]. Journal of System Simulation, 2021, 33(5): 1039-1050.
DOI
10.16182/j.issn1004731x.joss.19-0679
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