基于序列复杂度的空中红外目标跟踪算法评估

doi:10.3969/j.issn.1001-506X.2020.04.02

Abstract

Abstract:

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.

Key words: target tracking, complexity of image, complexity of movement, complexity of sequence, algorithm evaluation

CLC Number:

TP391

Yangguang HU, Mingqing XIAO, Zhaozheng LIU, Xiaotian WANG, Yaxing ZHAO. Aerial infrared target tracking algorithm evaluation based on complexity of sequence[J]. Systems Engineering and Electronics, 2020, 42(4): 740-748.

Figures/Tables 20

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References 23

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编号位	含义	取值范围
1	机动动作	(1, 2, …, 7)
2	诱饵数量类别	(1, 2, 3, 4)
3	水平进入角	(1, 2, …, 5)
4	图像背景类别	(1, 2, 3)

评估方法	序列编号
评估方法	1	2	3	4	均值
平均CLE	4.012	13.68	24.25	35.29	19.31
S_t	0.882	0.723	0.636	0.458	0.697
本文方法	0.188	0.195	0.237	0.240	0.215

序号	序列编号	原因分析
1	5352	目标采取大过载机动;诱饵数量多(12、16枚);进入角接近迎头攻击;图像背景为中以上
2	5353
3	5452
4	5453
5	6352
6	6353
7	6452
8	6453
9	6443
10	7443

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Aerial infrared target tracking algorithm evaluation based on complexity of sequence

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