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Fused High-Speed UAV Target Tracking Algorithm

Yu Zhang, Mengqi Cui, Baokun Ji, Haojian Wang
Vol.4, No.3, pp.69-76, 2025 DOI: 10.62051/ijmee.v4n3.08 January 21, 2025
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Abstract: To achieve precise tracking and aiming in ground-based laser strikes against drones, this paper proposes a high-speed target tracking algorithm adapted for UAVs (Unmanned Aerial Vehicle) in aerospace backgrounds. The algorithm integrates the KCF algorithm with a custom simple template matching algorithm and optimizes the custom template matching method using NEON. On the Nvidia Orin NX, this approach significantly improves tracking real-time performance compared to using KCF alone. Applying this tracking strategy to a custom dataset and parts of the ANTI-UAV dataset yielded good tracking results.
Keywords: KCF, Template Matching, NEON Optimization, High-Speed Tracking
APA Citation: Yu Zhang, Mengqi Cui, Baokun Ji, Haojian Wang (2025). Fused High-Speed UAV Target Tracking Algorithm. International Journal of Mechanical and Electrical Engineering, 4(3), 69-76. https://doi.org/10.62051/ijmee.v4n3.08

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