다중 체온 감지용 지능형 카메라 개발
Development of an intelligent camera for multiple body temperature detection
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본 논문에서는 다중 체온 감지용 지능형 카메라를 제안한다. 제안하는 카메라는 광학(4056*3040) 및 열화상(640*480) 2종의 카메라로 구성되고 획득된 영상으로부터 사람의 표정 및 체온을 분석하여 이상 증상을 감지한다. 광학 및 열화상카메라는 동시에 운영되며 광학 영상에서 객체를 검출한 후 얼굴영역을 도출하여 표정분석을 수행한다. 열화상카메라는 광학카메라에서 얼굴영역으로 판단한 좌표 값을 적용하고 해당영역의 최고 온도를 측정하여 화면에 표출한다. 이상 징후 감지는 분석된 표정 3가지(무표정, 웃음,슬픔)와 체온 값을 활용하여 판단하며 제안된 장비의 성능을 평가하기 위해 광학영상 처리부는 Caltech, WIDER FACE, CK+ 데이터셋을 3종의 영상처리 알고리즘(객체검출, 얼굴영역 검출, 표정분석)에 적용하였다. 실험결과로 객체검출률, 얼굴영역 검출률, 표정분석률 각각 91%, 91%, 84%을 도출하였다.
Abstract
In this paper, we propose an intelligent camera for multiple body temperature detection. The proposed camerais composed of optical(4056*3040) and thermal(640*480), which detects abnormal symptoms by analyzing a person’sfacial expression and body temperature from the acquired image. The optical and thermal imaging cameras areoperated simultaneously and detect an object in the optical image, in which the facial region and expressionanalysis are calculated from the object. Additionally, the calculated coordinate values from the optical image facialregion are applied to the thermal image, also the maximum temperature is measured from the region and displayedon the screen. Abnormal symptom detection is determined by using the analyzed three facial expressions(neutral,happy, sadness) and body temperature values. In order to evaluate the performance of the proposed camera, theoptical image processing part is tested on Caltech, WIDER FACE, and CK+ datasets for three algorithms(objectdetection, facial region detection, and expression analysis). Experimental results have shown 91%, 91%, and 84%accuracy scores each.
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