High-Accuracy Dynamic Target Detection Through Low-Readout Channel Thermopile Infrared Array Detector Enhanced by Machine Learning Techniques-Reference-Cited by-同舟云学术

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High-Accuracy Dynamic Target Detection Through Low-Readout Channel Thermopile Infrared Array Detector Enhanced by Machine Learning Techniques

Published:2024-07-01 Issue:13 Volume:24 Page:21300-21310
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Yang Zhaohui¹^ORCID,Xu Gaobin¹^ORCID,Chen Shirong¹,Sun Baichuan¹,Chen Xing¹,Ma Yuanming¹,Yu Yongqiang¹^ORCID,Feng Jianguo¹^ORCID

Affiliation:

1. School of Microelectronics, Hefei University of Technology, Hefei, Anhui, China

Funder

National Key Research and Development Program of China

Major Research and Development Innovation Project of Anhui Provincial Development and Reform Commission

Anhui Province Engineering Technology Research Center Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10577556/10536036.pdf?arnumber=10536036

Reference27 articles.

1. YOLOv4-5D: An Effective and Efficient Object Detector for Autonomous Driving

2. A Framework for Leveraging Interimage Information in Stereo Images for Enhanced Semantic Segmentation in Autonomous Driving

3. Hand gesture recognition for human computer interaction

4. Dynamic hand gesture recognition using vision-based approach for human–computer interaction

5. TIRNet: Object detection in thermal infrared images for autonomous driving

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