Aerial cluster infrared detection and tracking algorithms for small targets

Shuai Yang; Zhihui Zou; Yingchao Li; Haodong Shi; Qiang Fu

doi:10.1117/12.2689118

31 July 2023 Aerial cluster infrared detection and tracking algorithms for small targets

Shuai Yang, Zhihui Zou, Yingchao Li, Haodong Shi, Qiang Fu

Proceedings Volume 12747, Third International Conference on Optics and Image Processing (ICOIP 2023); 127470T (2023) https://doi.org/10.1117/12.2689118
Event: Third International Conference on Optics and Image Processing (ICOIP 2023), 2023, Hangzhou, China

Abstract

In this paper, we propose an Att-Siam infrared cluster target detection and tracking algorithm to address the difficult problem of background distinction in the process of long-range detection and tracking of small targets in air clusters. The Att-Siam algorithm first introduces the attention mechanism in the high-dimensional Hilbert spatial data and the original spatial data, and then introduces the attention mechanism in the convolutional channels, the stacked channel attention mechanism, and the spatial attention mechanism. By improving the learning performance of the network structure, the proposed algorithm improves the tracking success rate and accuracy by 32.3% and 20.9%, respectively, when compared with the traditional SiamFC algorithm tested on the spatially weak target IR dataset. The experimental results show that the proposed algorithm can adapt to complex and diverse infrared aerial scenarios and achieve effective and stable real time tracking of small infrared aerial targets.

Citation Download Citation

Shuai Yang, Zhihui Zou, Yingchao Li, Haodong Shi, and Qiang Fu "Aerial cluster infrared detection and tracking algorithms for small targets", Proc. SPIE 12747, Third International Conference on Optics and Image Processing (ICOIP 2023), 127470T (31 July 2023); https://doi.org/10.1117/12.2689118

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