High-precision thermography based on JMAP inference for human face temperature

被引:1
作者
Chu, Ning [1 ]
Zhong, Yao [1 ]
Hou, Yaochun [1 ]
机构
[1] Zhejiang Univ, Coll Energy Engn, 38 Zheda Rd, Hangzhou 310012, Zhejiang, Peoples R China
来源
INFRARED, MILLIMETER-WAVE, AND TERAHERTZ TECHNOLOGIES VII | 2020年 / 11559卷
关键词
thermography; joint maximum a posterior; thermal radiation model; temperature compensation;
D O I
10.1117/12.2574940
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
During the pandemic Covid-19, infrared thermography is an efficient way to detect susceptible persons with abnormal temperatures. However, two significant factors seriously limit the temperature precision: measurement uncertainty of the infrared camera and model inaccuracy of thermal radiation. In this paper, we propose the joint maximum a posterior (JMAP) approach with a new hierarchical prior model. The advantages of JMAP are that the Bayesian inference can combine prior model and likelihood model to regulate the uncertainty from both physics and measurements. At first, we obtain the estimated parameters of the thermal radiation model from training-data. We propose that the distribution of actual temperature and the distribution of measurement error satisfy the Gaussian distribution. We take the variance of the Gaussian distribution as the latent variable and assume that the variance satisfies the inverse gamma distribution, which we control by setting hyperparameters, which determine the uncertainty of the temperature variance so that variances are updated continuously rather than constants. We apply the JMAP inference to test human-face temperature for infrared camera calibration. Although the pre-set parameters of the cost-effective infrared camera badly affect the accuracy, our proposed approach can refine the error of less than 0.1. compared with 1.0. without calibration at certain distances. Therefore, our proposed approach can offer an efficient and accurate way to screen people with abnormal body temperature against Covid-19.
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页数:6
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共 8 条
  • [1] Infrared camera assessment of skin surface temperature - Effect of emissivity
    Bernard, V.
    Staffa, E.
    Mornstein, V.
    Bourek, A.
    [J]. PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2013, 29 (06): : 583 - 591
  • [2] INFLUENCE OF OBJECT-SYSTEM DISTANCE ON ACCURACY OF REMOTE TEMPERATURE-MEASUREMENT WITH IR SYSTEMS
    CHRZANOWSKI, K
    [J]. INFRARED PHYSICS & TECHNOLOGY, 1995, 36 (03) : 703 - 713
  • [3] Study on high-precision temperature measurement of infrared thermal imager
    Dai, Shao-sheng
    Yan, Xiao-hui
    Zhang, Tian-qi
    [J]. INFRARED PHYSICS & TECHNOLOGY, 2010, 53 (05) : 396 - 398
  • [4] Classification of factors influencing the use of infrared thermography in humans: A review
    Fernandez-Cuevas, Ismael
    Bouzas Marins, Joao Carlos
    Arnaiz Lastras, Javier
    Gomez Carmona, Pedro Maria
    Pinonosa Carlo, Sergio
    Angel Garcia-Concepcion, Miguel
    Sillero-Quintana, Manuel
    [J]. INFRARED PHYSICS & TECHNOLOGY, 2015, 71 : 28 - 55
  • [5] Ning Chu, 2019, 2019 6th International Conference on Systems and Informatics (ICSAI), P1190, DOI 10.1109/ICSAI48974.2019.9010467
  • [6] Qian S., 2017, INFRARED PHYS TECHN, V88, P128
  • [7] Open-path Halon 1301 NDIR sensor with temperature compensation
    Yuan, Wei
    Lu, Song
    Guan, Yu
    Hu, Yang
    [J]. INFRARED PHYSICS & TECHNOLOGY, 2019, 97 : 129 - 134
  • [8] An experimental method for improving temperature measurement accuracy of infrared thermal imager
    Zhang, YuCun
    Wang, ZhiKang
    Fu, XianBin
    Yan, Fang
    Kong, Tao
    [J]. INFRARED PHYSICS & TECHNOLOGY, 2019, 102