Multiple Object Tracking and Kinematic Simulation for Short Track Speed Skating

doi:10.16182/j.issn1004731x.joss.19-0679

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.

Key words: short track speed skating, multiple object tracking, landmark matching, local matching metric, kinematic simulation

CLC Number:

TP391

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.

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