Patent AU-2019359613-B2 (AU)
Title: Face recognition system, face recognition method and face recognition program
Inventor: ITO KAZUHIKO
IPC: G06V10/776
Filed: 2019-06-14
Granted: 2021-09-30
Abstract: til-S-01AM,1 -J r 9i0d (19) 1111DIIIIIIIII~Ilili 111111111 I N11111111111 INi 
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(54) Title: FACIAL RECOGNITION SYSTEM, FACIAL RECOGNITION METHOD, AND FACIAL RECOGNITION 
PROGRAM 
3 Computer at facial authentication processing site 
0- t -1 Camera 
21 Reception operationexecutigunit 
22 Human detection processing unit 
-23 Ruin-mask-comparisonaunit 
24 Poin mask registering uit 
____________________25 Outgongfacialimage transmittingunit 
26 Com ing facial authentication restreceiving nit 
SNW1 Internet 
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CC De tectio n ofsuspiciousperson 
S(57) Abstract: Provided is afacialrecognition technique with which itis possible to determine false detection of afacial 
regionathighspeedandtoperformhighlyaccuratefacialrecognition.Thisfacialrecognition system comprises first 
facialdetectionmeans2havingarelativelylowaccuracyfor performing humanfacial detectionfroma cameraimage 
201,andasecondfacialdetectionmeans3forperforminghuman2facial detction withhigheraccuracywith rspecttothe 
camera image 201. Facial detection isperfored withiuspect teach camera image obtained beach of thefirst facial
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KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, 
MA, MD, ME, MG, MK, MN, MW, MX, MY MZ, 
NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, 
QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, 
SM, ST, SV SY, TH, TJ, TM, TN, TR, TT, TZ, UA, 
UG, US, UZ, VC, VN, ZA, ZM, ZW.  
9iht WNE): ARIPO (BW, GH, GM, KE, LR, LS, 
MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, 
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TM), 9 - F-1 /' (AL, AT, BE, BG, CH, CY, CZ, 
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SE, SI, SK, SM, TR), OAPI (BF, BJ, CF, CG, CI, CM, 
GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG).  
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detection means 2 and the second facial detection means 3. If the second facial detection means 3 is unable to perform 
facial detection with respect to a facial region detected by the first facial detection means 2, it is determined that the first 
facial detection means 2 has made a false detection, and the center of gravity coordinates of the facial region are learned as 
a point mask position. Thereafter, when the first facial detection means 2 has performed facial detection from the camera 
image 201, the center of gravity coordinates of the facial region is determined. If matching coordinates are found in a 
group of stored point mask coordinates, the region is determined to be a false detection region, and the highly accurate 
facial detection by the second facial detection means 3 is not performed with respect to the captured image.  
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