Aerial infrared target tracking algorithm based on kernel correlation filtering and SIFT features in complex background

Chunxu Li; Bo Lou; Shiwei Guo

doi:10.1117/12.3007640

18 December 2023 Aerial infrared target tracking algorithm based on kernel correlation filtering and SIFT features in complex background

Chunxu Li, Bo Lou, Shiwei Guo

Author Affiliations +

Proceedings Volume 12960, AOPC 2023: Infrared Devices and Infrared Technology; and Terahertz Technology and Applications; 129600H (2023) https://doi.org/10.1117/12.3007640
Event: Applied Optics and Photonics China 2023 (AOPC2023), 2023, Beijing, China

Abstract

Aerial infrared target tracking is one of the core technologies of the infrared imaging missile electro-optical countermeasures system and has important application value. However, in practical applications, the traditional kernel correlation filter (KCF) algorithm suffers from problems such as single scale and poor resistance to occlusion, resulting in poor tracking when the target changes scale or is in a complex background. In order to solve these problems, this paper proposes a way to improve the KCF algorithm. SIFT feature points are combined with correlation filtering methods to build a more flexible and adaptive feature representation, and a scale adaptivity mechanism is introduced to improve tracking performance. The paper is also validated by experiments based on infrared video datasets, and the results show that the improved KCF algorithm has better robustness and tracking performance in aerial infrared target tracking compared to the traditional KCF algorithm.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Chunxu Li, Bo Lou, and Shiwei Guo "Aerial infrared target tracking algorithm based on kernel correlation filtering and SIFT features in complex background", Proc. SPIE 12960, AOPC 2023: Infrared Devices and Infrared Technology; and Terahertz Technology and Applications, 129600H (18 December 2023); https://doi.org/10.1117/12.3007640

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KEYWORDS

Detection and tracking algorithms

Infrared radiation

Electronic filtering

Image filtering

Tunable filters

Infrared search and track

Feature extraction

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