Infrared small target recognition based on Yolov5 and centriod tracking algorithm

Xi Yue; Li Jian; Zhang Yurun

doi:10.1117/12.3006194

10 October 2023 Infrared small target recognition based on Yolov5 and centriod tracking algorithm

Xi Yue, Li Jian, Zhang Yurun

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127990N (2023) https://doi.org/10.1117/12.3006194
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

One of the important tasks in target identification is infrared small target detection, but infrared small target is stealthy, often has long distance for detection and noise interference, creating a significant obstacle to infrared small target detection tracking. To the end, this paper proposes to combine the use of YOLOv5 and the centriod tracking algorithm for infrared small target recognition tracking, and to enhance the recognition of small targets by optimization of the up-sampling and down-sampling process. By tracking and recognizing 1799 images, the final mAP was improved by 5.84% using the method of this paper.

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

Citation Download Citation

Xi Yue, Li Jian, and Zhang Yurun "Infrared small target recognition based on Yolov5 and centriod tracking algorithm", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127990N (10 October 2023); https://doi.org/10.1117/12.3006194

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