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1 2004 年六 ~ 北立北 The Station of the Servo Vision Fever Triage sheu@mail.stut.edu.tw 都力量量連量不量降利理量更量理 Abstract Many infectious diseases will be under an attack of fever. To measuring body tempeture is a important thing to find out the patients. The measurement device should be non contact, the response should be rapid for the station of the fever triage. Thermal image sensor can be adopted as the device, But it is very expensive. In this paper, a single IR thermal sensor is used as the device, and image recognition process is used to find the forehead of a person. The cost is low, and the process is more proper than above. : Fever triage, Thermal Image Sensor, Image Recognition. SARS(severe acute respiratory syndrome, )(WHO) 2003 年年 4 16 狀 SARS SARS 切狀 () 更力力力 SARS 狀 38 X [13] SARS 來不便 SARS 力量 SARS 不 SARS 都易流行流 [14] 年 2003 年 12 來陸流行流流行見流行 H5N1 類例數 [15] 都立 1.1 量來狀了度什了度量 1740 年來量度年來良不來量度度度參兩不都 1 度 1 量量 37 度數 37 度 37.5 度 38 度數

2 2004 年六 ~ 北立北 38 度 [20] 度不不量念 8051 DSP AC 來量精度度說來度度度量飯略流類便量類不量識度不量量量度度量量利來度量不度量來更讀度量離浪流量量度度量度量連量例利量若度異量暴露量不利量度不度量量 1 度度了不了來易暴露 SARS 降利理 8051 來量數理數理數來數來數路數理理數 (Digital Signal ProcessorDSP) 來數理率來來廉 1982 年 TI DSP TMS320 列 C1xC2xC2xxC5xC54xC62x C64x DSP C3xC4x C67x DSP[16] TI TMS320 列類 CPU 不不 von Neumann 來 DSP 利利 ROM 數例數來料不料 ROM 降料度料利率 TI DSP 度料料數理 von Neumann 理更率度 TMS320C2000 DSP 率數 TMS320C2000 路來數力領 [18, 19]

3 2004 年六 ~ 北立北 C24x C28x DSP TMS320F240 DSP A/D, PWM, 數, 1.3 理識年歷來 [1] 不識度識精度度量參不度來 [2] [3] 利異 [4,5,6,7,12] 來識利 [8] 類神路 [9,10] [11](Wavelet) [5] 理論來識量更都更 D:S 離不 ( 量 ) 度量 D:S 都不離不易離度量度 D:S 度 Raytek MX6 度 60:1 D:S 1.15M 量 1.9cm 8um~14um 度量 -30~ 度度 1 度 MX6 了度 CCD 理度行行度爲度更度度聯 2003/07/04 SARS 量都數輪流量不不不量六不更不度量易 SARS 離量不量連量療量度量參行 2 離度識 2 行度 TMS320F240 DSP 路理行來行便行量行若離便度度量度 USB

4 2004 年六 ~ 北立北便度量不利理度量 PC RS232 令 DSP DSP RS232 PC MX6 量 reed relay 零路 (MF-DU30KP2) 來 PC 理理料參度量流 3 說 3 度量 1. 狀 2 2. CCD(Charge Couple Device) RGB 30 RGB 綠藍 (Red-Green-Blue) 來 RGB 易若都不理 3. 理來 HSV(Hue-Saturation-Value) 度亮度來說度亮度立不亮度異度不裡見 PAL NTSC 裡 ( PAL YUV NTSC YIQ ) 類 HSV RGB YUV YIQ YIQ 度濾來 4. 識料來離 YIQ I 量藍綠 I 藍綠 I 量 155~220 [12] 5. 量度便零錄 () 6. YIQ Y 量 Y 量來 5 裡 7. Y X XY 8. TMS320F240 DSP 來兩 9. 度兩度量量度度度度利若 1 理 Visual C [17] 理類 CxImage Class CAVICapWnd Video For Windows MFC Class CAVICapWnd Video For Windows MFC Class CCD CxImage Class 來理 VC 理度 RS232 令 TMS320F240 DSPDSP VC VC 令 MX6 度度讀讀 VC 理料令理

5 2004 年六 ~ 北立北論量流 : 4 行量行來行便行量行量兩 Raytek MX6 度 () DSP 路理不行了 5 A. PC VC 令 DSP DSP 行令 VC 度度 DSP 來 B. PC 度了度量流 C. 行 2-7 若行 D 了 VC 利行 C D. 令度度度度 T c = T b (T b -T r ) (1) 4 T c 度 T b 度 T r E. 度度 ( 度 37.5) 度度狀 A F. 度度度度利行 A 6 5 量 6

6 2004 年六 ~ 北立北識料 on Multimedia and Expo, 1: , [5] C. Garcia and G. Tziritas, Face detection using quantized skin color regions merging and wavelet packet analysis, IEEE Transactions on Multimedia,Vol. 13, pp , Sept 利量 [6] Hichem Sahbi, and Nozha Boujemaa,"Accurate Face 度不度 Detection Based on Coarse Segmentation and Fine Skin Color Adaption," in ICISP'2001, Agadir, 量 Morocco, May 量了來 [7]Hichem Sahbi, and Nozha Boujemaa,"Accurate Face Detection Based on Coarse Segmentation and Fine Skin Color Adaption," in ICISP'2001, Agadir, 易 Morocco, May 暴露 [8]Brunelli, R. and T. Poggio, Face recognition: features versus templates, IEEE Trans. Pattern Analysis and Machine Intelligence, Vol.15, No.10, 降 pp , CCD 離 [9]Juell, P. and R. Marsh, A hierarchical neural network 度利理 for human face detection, Pattern Recognition, ( 度 ) 料更 Vol.29, No.5, pp , [10] Rowley, H. A., S. Baluja, and T. Kanade, Neural network-based face detection, IEEE Trans Pattern DSP C Analysis and Machine Intelligence, Vol.20, No.1, PC 理 VC pp.23-28, [11] Hirano, T. and Nakamura, O., A Robust Personal 理 Identification System for Angled Facial Images, 量不令 Trans. IEE of Japan, pp , Jun., 量不 [12],, 神度 PC 路, RS232 令 DSP, 陸, vol. 25 No. 11, pp , 度度量度度利度 [13], SARS, 度度不易流了簾流流便理行裡若若 [14], 流, [15], 流, [16] Texas Instruments, DSP Developers Village, 濾 [17],, Visual C++ C++,, April, [18], TMS320F/C24X DSP 參理,, [19], TMS320C240 理 C [1] Chellappa, R., C. Wilson, and S. Siroley, Human,, and machine recognition of faces: A survey, [20], SARS, Proceedings of the IEEE, Vol.83, No.5, pp , 年度, Nov., 2003, pp [2]Yow, K. and R. Cipolla, Feature-based human face detection, Image and Vision Computing, Vol.15, No.9, pp , [3] P.A. Beardsley, "Pose Estimation of the Human Head by Modeling with an Ellipsoid", IEEE Conference on Automatic Face & Gesture Recognition, Nara, [4] Dongun An Seongiong Chung Jeonghee Park, Jungwon Seo., Detection of human faces using skin color and eyes, 2000 IEEE International Conference

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