基于多域网络的红外目标跟踪算法

doi:10.12305/j.issn.1001-506X.2021.05.03

Abstract

Abstract:

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.

Key words: multi-domain network, target tracking, infrared imaging, deep learning

CLC Number:

TP391

Mingjie SUN, Lin ZHOU, Jinling GU, Peigeng LI. Infrared target tracking algorithm based on multi-domain network[J]. Systems Engineering and Electronics, 2021, 43(5): 1176-1183.

Figures/Tables 9

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References 30

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	参数	跟踪算法
	参数	SPMDnetOurs	MDNet	KCF	LCT	TLD	LSST
lwir_1608	DPR/%	100.0	100.0	68.3	94.5	85.20	84.10
	OSR/%	67.2	57.6	1.7	13.8	0.30	73.80
	FPS	6.2	6.4	273.0	20.1	41.20	7.80
lwir_1913	DPR/%	94.0	59.2	60.0	63.0	91.30	99.60
	OSR/%	61.5	41.1	51.7	22.6	0.40	48.70
	FPS	4.2	4.3	177.0	16.9	26.30	6.50
平均值	DPR/%	97.0	79.6	64.2	78.8	88.30	91.85
	OSR/%	64.4	49.4	26.7	18.2	0.35	61.25
	FPS	5.2	5.4	225.0	18.5	33.80	7.15

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Infrared target tracking algorithm based on multi-domain network

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