Efficient Infrared and Thermal Imaging Fusion Approach for Real-time Human Detection in Heavy Smoke Scenarios-Reference-Cited by-同舟云学术

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Efficient Infrared and Thermal Imaging Fusion Approach for Real-time Human Detection in Heavy Smoke Scenarios

Published:2023-07-27 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on System Science and Engineering (ICSSE)
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Author:

Truong Nghe-Nhan¹,Le My-Ha¹,Do Truong-Dong²,Tran Le-Anh³,Nguyen Thanh-Dat⁴,Trinh Hoang-Hon⁵

Affiliation:

1. HCMC University of Technology and Education,Faculty of Electrical and Electronics Engineering,Ho Chi Minh City,Vietnam

2. Sejong University,Dept. of Aerospace Systems Engineering,Seoul,South Korea

3. Myongji University,Dept. of Electronics Engineering,Gyeonggi,South Korea

4. OCST Co., Ltd.,Dept. of Research and Development,Seoul,South Korea

5. HCMC University of Technology, VNU-HCM,Faculty of Electrical and Electronics Engineering,Ho Chi Minh City,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10227140/10227074/10227078.pdf?arnumber=10227078

Reference23 articles.

1. A Vision-based Hand-sign Language Teaching System using Deep Neural Network: Methodology and Experiments

2. Real-Time Self-Driving Car Navigation Using Deep Neural Network

3. Adam: A Method for Stochastic Optimization;kingma;3rd International Conference on Learning Representations ICLR 2015 - Conference Track Proceedings,2014

4. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

5. You Only Look Once: Unified, Real-Time Object Detection;redmon;Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2015

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