Aerial infrared target tracking algorithm evaluation based on complexity of sequence

被引：0
|
作者：
Hu Y. [1 ]
Xiao M. [1 ]
Liu Z. [1 ]
Wang X. [2 ]
Zhao Y. [3 ]
机构：
[1] Aeronautics Engineering College, Air Force Engineering University, Xi'an
[2] School of Astronautics, Northwestern Polytechnical University, Xi'an
[3] Unit 95920 of the PLA, Hengshui
来源：
| 1600年 / Chinese Institute of Electronics卷 / 42期
关键词：
Algorithm evaluation; Complexity of image; Complexity of movement; Complexity of sequence; Target tracking;
D O I：
10.3969/j.issn.1001-506X.2020.04.02
中图分类号：
学科分类号：
摘要：
In recent years, aerial infrared target tracking algorithms based on deep learning keep emerging. However, how to evaluate its performance has become an urgent problem to be solved. The complexity of the image is calculated by using the degree of the target being confused and the degree of the target being shielded of the single frame. The computing model of complexity of the sequence is designed based on the complexity of the image and the complexity of movement. Then, an infrared sequence sample database containing 420 sequences is constructed. A new algorithm evaluation method is proposed, in which the test results on the database are weighted through the complexity of the sequence. Experimental results show that it can comprehensively evaluate the performance of the algorithm in different states. © 2020, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：740 / 748
页数：8
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