Maneuvering trajectory recognition based on COA-LSSVM

Cheng Hua; Xie Lei; Tang Shangqin; Wei Zhenglei; Zhang Zhuoran; Zhu Tianyi

doi:10.1117/12.2652492

20 October 2022 Maneuvering trajectory recognition based on COA-LSSVM

Cheng Hua, Xie Lei, Tang Shangqin, Wei Zhenglei, Zhang Zhuoran, Zhu Tianyi

Proceedings Volume 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022); 123501Q (2022) https://doi.org/10.1117/12.2652492
Event: 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 2022, Qingdao, China

Abstract

Aiming at the problem of low recognition accuracy of maneuvering trajectories, this paper constructs a relatively complete maneuvering unit library by analyzing the characteristics of maneuvering trajectory, and expresses complex trajectories with simple units; Combine the coyote optimization algorithm(COA) with the Least Squares Support Vector Machine (LSSVM) classifier, and use the COA algorithm to adaptively adjust the width factor and the penalty factor δ of the kernel function in the LSSVM according to the error; Five classification algorithms, LSSVM, SSA-LSSVM, HHO-LSSVM, AOA-LSSVM, and AEO-LSSVM are selected for comparative experiments. The results show that the method proposed in this paper has higher accuracy in maneuvering trajectory recognition.

Citation Download Citation

Cheng Hua, Xie Lei, Tang Shangqin, Wei Zhenglei, Zhang Zhuoran, and Zhu Tianyi "Maneuvering trajectory recognition based on COA-LSSVM", Proc. SPIE 12350, 6th International Workshop on Advanced Algorithms and Control Engineering (IWAACE 2022), 123501Q (20 October 2022); https://doi.org/10.1117/12.2652492

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