Visible and infrared images fusion target tracking based on deep learning, progress, and prospects

Yance Fang; Qiting Li; Peishun Liu

doi:10.1117/12.2656466

20 October 2022 Visible and infrared images fusion target tracking based on deep learning, progress, and prospects

Yance Fang, Qiting Li, Peishun Liu

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 1245159 (2022) https://doi.org/10.1117/12.2656466
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

Due to the complementarity of visible and infrared images in target tracking, the target tracking of the fusion of the two has more advantages than traditional target tracking methods in performance and robustness. Recently, the development of artificial intelligence has promoted the progress of visible and infrared images fusion target tracking technology. This paper summarizes the infrared and visible images fusion algorithms in target tracking, introduces the research progress of image fusion technology in detail, and shows the research results of fusion algorithms. Based on the development history of this field, this paper summarizes the classic methods and emerging technologies in recent years. What’s more, a network is designed based on the transformer network structure combined with the feature fusion module. The experimental results show that the comprehensive performance of the transformer-based network is improved by nearly 1%. It proves that the transformer-based network has great application potential in the target tracking network of visible and infrared images fusion.

Citation Download Citation

Yance Fang, Qiting Li, and Peishun Liu "Visible and infrared images fusion target tracking based on deep learning, progress, and prospects", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 1245159 (20 October 2022); https://doi.org/10.1117/12.2656466

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KEYWORDS

Visible radiation

Infrared radiation

Image fusion

Infrared imaging

Detection and tracking algorithms

Data modeling

Electronic filtering

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