Low Resolution Infrared Image Deep Convolution Neural Network for Embedded System (임베디드용 저해상도 적외선 영상 딥컨볼루션신경망)

Yonghee Hong (홍용희); 진상훈; Daehyeon Kim (김대현); 지호진

doi:10.9708/jksci.2021.26.06.001

Low Resolution Infrared Image Deep Convolution Neural Network for Embedded System

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2021, 26(6), pp.1-8
DOI : 10.9708/jksci.2021.26.06.001
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : April 15, 2021
Accepted : June 8, 2021
Published : June 30, 2021

Yonghee Hong ¹, 진상훈 ¹, Daehyeon Kim ¹, 지호진 ¹

¹LIG넥스원

Accredited

ABSTRACT

In this paper, we propose reinforced VGG style network structure for low performance embedded system to classify low resolution infrared image. The combination of reinforced VGG style network structure and global average pooling makes lower computational complexity and higher accuracy. The proposed method classify the synthesize image which have 9 class 3,723,328ea images made from OKTAL-SE tool. The reinforced VGG style network structure composed of 4 filters on input and 16 filters on output from max pooling layer shows about 34% lower computational complexity and about 2.4% higher accuracy then the first parameter minimized network structure made for embedded system composed of 8 filters on input and 8 filters on output from max pooling layer. Finally we get 96.1% accuracy model. Additionally we confirmed the about 31% lower inference lead time in ported C code.

KEYWORDS

Deep Learning, CNN, VGG, Low Resolution, Infrared, Synthesize Image

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* References for papers published after 2023 are currently being built.

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KJCKorea
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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Low Resolution Infrared Image Deep Convolution Neural Network for Embedded System

ABSTRACT

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Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Low Resolution Infrared Image Deep Convolution Neural Network for Embedded System

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* References for papers published after 2023 are currently being built.