Face and eyes localization algorithm in thermal images for temperature measurement of the inner canthus of the eyes

Budzan, Sebastian; Wyżgolik, R.

doi:10.1016/j.infrared.2013.05.007

Cited by 33 publications

(15 citation statements)

References 16 publications

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“…Thus, no individual pixel will be representing only the inner eye-canthus, making the measurement more error prone. Budzan and Wyzgolik [ 23 ] observed a reduction of 1.6°C in their assessment of inner canthus temperature going from 1 to 3 meters distance (384 × 288-pixel uncooled FPA microbolometer camera). Lens angle is not provided, but field of view is estimated at 70 cm at 1 m (0.55 pixels/mm) to 140 cm at 2 m (0.28 pixels/mm).…”

Section: Pixel Count/resolutionmentioning

confidence: 99%

Non-contact infrared assessment of human body temperature: The journal Temperature toolbox

2021

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The assessment of human internal/core temperature (T core ) is relevant in many scientific disciplines, but also for public health authorities when attempting to identify individuals with fever. Direct assessment of T core is often invasive, impractical on a large scale, and typically requires close contact between the observer and the target subject. Non-contact infrared thermometry (NCIT) represents a practical solution in which T core can potentially be assessed from a safe distance and in mass screening scenarios, by measuring skin temperature at specific anatomical locations. However, the COVID-19 pandemic has clearly demonstrated that these devices are not being used correctly, despite expert guided specifications available in International Standard Organization (ISO) documents. In this review, we provide an overview of the most pertinent factors that should be considered by users of NCIT. This includes the most pertinent methodological and physiological factors, as well as an overview on the ability of NCIT to track human T core . For practical use, we provide a checklist based on relevant ISO standards which are simple to follow and should be consulted prior to using NCIT for assessment of human T core . Our intention is for users of NCIT to adopt this checklist, which may improve the performance of NCIT for its ability to track T core .

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Section: Pixel Count/resolutionmentioning

confidence: 99%

Non-contact infrared assessment of human body temperature: The journal Temperature toolbox

2021

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“…Also, Albarran et al, have proposed a thermography detection system of facial expression for anger, loathe, fright, joy and sorrow. Mostafa et al [13], Budzan et al [14] have proposed image processing and positioning for the face and two eyes under low resolution. Besides static IR thermography, researches are conducted too using dynamic image samples [14]- [17], where its application includes biotelemetry and face detection.…”

Section: Introductionmentioning

confidence: 99%

Optimization Method of IR Thermography Facial Image Registration

et al. 2019

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So far, there have been many types of researches subject to technical requirements due to image registration. Using image registration can lower deviation from sequential images and make it possible to analyze the information variation of the particular area subsequently. This study provides a procedure creating fixed image based on the data of facial IR thermography, where its methods include the visual saliency map by detected image, as well as cluster algorithm. Comparison is also made here to solve the merits and demerits by affine parameter to reach the optimum measure among Genetic Algorithm, Particle Swarm Optimization, and Simulated Annealing Algorithm, where there are two control parameters concerning this experiment: one is the calculation of time confined each alignment, while the other one is to use parallel computing toolbox or not. The optimum method will be chosen by the values of the objective function based on the control parameters. Afterward, the optimal internal parameter is to be verified through the Taguchi experiment and the validity of this procedure in this study will be built following the parameter result as above. Therefore, the difference of images before and after alignment can be validated by overlapping the images before and after alignment as well as the image quality measurements, where its results reveal that the alignment procedure of IR thermography in this study is capable of performing human face alignment precisely, and subsequently, do help data statistics and analysis concerning temperature area interdependence.

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“…There are many issues over the measured temperature in the inner-canthus whether it is sufficient to represent the body temperature. However, it is an appropriate spot to identify human body temperature with non-contact, non-invasive, and fast fashion [8]- [10].…”

Section: Introductionmentioning

confidence: 99%

Inner-Canthus Localization of Thermal Images in Face-View Invariant

Fitriyah

Widasari

Putri

2018

International Journal on Advanced Science, Engineering and Information Technology

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Inner-canthus localization has played an essential role in measuring human body temperature. This is due to the theory that human core body temperature can be measured in the inner-canthus. Such measurement is useful for mass screening since it is non-contact, non-invasive and fast. This paper presents an algorithm that has been developed to locate the inner-canthus. The algorithm proposed a robust method in various face-view, i.e., frontal, sided and tilted. The algorithm consisted of: face segmentation, determining face-orientation, rotating face into straight view, eye localization, and inner-canthus localization. The face segmentation used human temperature threshold of 34°C-the face orientation used trend line of a middle point between each most-bottom and most-top coordinates. The face rotation was based on the gradient of the trend line. Once the face is rotated, the eye location was determined using facial proportion. The inner-canthus location was determined as the highest intensities in the eye-frame. The test on 15 thermal images of faces with various view showed localization accuracy of 80% for eye-frame determination and 100% for innercanthus localization.

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Face and eyes localization algorithm in thermal images for temperature measurement of the inner canthus of the eyes

Cited by 33 publications

References 16 publications

Non-contact infrared assessment of human body temperature: The journal Temperature toolbox

Non-contact infrared assessment of human body temperature: The journal Temperature toolbox

Optimization Method of IR Thermography Facial Image Registration

Inner-Canthus Localization of Thermal Images in Face-View Invariant

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