Researching | RGBT dual-modal Siamese tracking network with feature fusion

Infrared and Laser Engineering, Volume. 50, Issue 3, 20200459(2021)

RGBT dual-modal Siamese tracking network with feature fusion

Yali Shen

Author Affiliations

School of Mathematics and Information Technology, Yuncheng University, Yuncheng 044000, China

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Figures&Tables (7)

References (16)

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Figures & Tables(7)

Fig. 1. Visible image (up) and infrared image (down)

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Fig. 2. Flowchart of the Siamese network

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Fig. 3. Visible image (up) and infrared image (down)

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Fig. 4. Precision plot (a) and success plot (b)

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Fig. 5. Success plot under 12 different attributes

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Fig. 6. Precision plot under 12 different attributes

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Table 1. [in Chinese]

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Table 1. [in Chinese]

Layer	Kernel size	Channel×Map	Stride	Size	Channel
Input	11×11			255×255	3
Conv1	3×3	16×3	2	123×123	16
Pool1	5×5		2	61×61	16
Conv2	3×3	32×16	1	57×57	32
Pool2	3×3		1	55×55	32
Conv3	3×3	64×32	1	53×53	64
Conv4	3×3	128×64	1	51×51	128
Conv5	3×3	32×128	1	49×49	32

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Yali Shen. RGBT dual-modal Siamese tracking network with feature fusion[J]. Infrared and Laser Engineering, 2021, 50(3): 20200459

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Paper Information

Category: Image processing

Received: Nov. 28, 2020

Accepted: --

Published Online: Jul. 15, 2021

The Author Email:

DOI:10.3788/IRLA20200459

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology