Infrared target tracking algorithm based on multi-domain network

被引：0
|
作者：
Sun M. [1 ]
Zhou L. [1 ]
Gu J. [2 ]
Li P. [3 ]
机构：
[1] Air and Missile Defense College, Air Force Engineering University, Xi'an
[2] Unit 32272 of the PLA, Lanzhou
[3] Unit 95169 of the PLA, Nanning
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2021年 / 43卷 / 05期
关键词：
Deep learning; Infrared imaging; Multi-domain network; Target tracking;
D O I：
10.12305/j.issn.1001-506X.2021.05.03
中图分类号：
学科分类号：
摘要：
With the continuous improvement of infrared detector performance, infrared target tracking is more and more widely used in intelligent security and other fields. However, it is still a difficult problem to rely on infrared image for target tracking due to the low resolution of infrared image. In view of the low resolution of infrared image, combining with the characteristics of size change in the process of target movement, a multi-domain network based infrared target tracking algorithm is proposed, which is based on the multi-domain network. To assess the algorithm performance, experiments are conducted on the VOT-TIR2016 database and AMCOM infrared data, respectively. Experimental results show that the target scale prediction mechanism can significantly improve the tracking accuracy of the algorithm. © 2021, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：1176 / 1183
页数：7
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