• Title/Summary/Keyword: Face identification

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A Face Recognition Based Suspected Criminal Detection and Identification System (얼굴 인식 기반의 범죄 용의자 탐지 및 식별 시스템)

  • Lee, Jong-Uk;Kang, Bong-Su;Lee, Han-Sung;Park, Dae-Hee
    • Proceedings of the Korean Information Science Society Conference
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    • 2010.11a
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    • pp.127-128
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    • 2010
  • 본 논문에서는 CCTV 감시 영상에서 취득한 얼굴 이미지를 이용하여, 범죄자 감시목록에 등록된 범죄 용의자를 탐지 식별하는 시스템을 설계 및 구현하였다. 특히 본 논문에서 제안한 SVDD와 SRC를 혼합한 계층적 구조의 범죄 용의자 식별 모듈은 다음과 같은 특성을 갖는다: 1) 먼저 SVDD를 이용하여 범죄 용의자만을 빠르게 인식함으로써, 일반인에 대한 불필요한 범죄자 식별 연산을 수행하지 않는다; 2) 다양한 식별 성능을 저해하는 환경에서도 이미 강인한 성능이 검증된 SRC를 범죄 용의자 식별과정에 적용함으로써 안정적이고 정확한 식별 시스템을 보장한다; 3) 동일 생체 특정의 반복적 사용을 통한 다수결 투표전략을 취함으로써 시스템의 신뢰도를 보장한다; 4) 점증적 갱신의 학습 능력으로 인하여 범죄 용의자 감시목록 데이터베이스의 변화에도 능동적으로 적응한다 실제 KUFD(Korea University Face Database)를 자체 제작하고 캠퍼스 내에서 CCTV 환경의 얼굴 인식 기반 범죄 용의자 탐지 및 식별 시스템 환경을 모의 구축하여 실험적으로 제안된 시스템의 성능을 검증한다.

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On-line Simulaneous Identification of Immersion Ratio and Cutting Force Ratio using Cutting Forces in Face Milling (정면밀링에서 절삭력을 이용한 절입비와 절산력비의 실시간 추정)

  • 김명곤
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.9 no.4
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    • pp.91-98
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    • 2000
  • In this paper , presented is a method of on-line estimation of the radial immersion ratio and cutting force ratio using cutting force. When a tooth finishes sweeping, sudden drop of cutting forces occurs. These force drops are equal to the cutting forces that act on a single tooth at the swept angle of cut and can be obtained from cutting force signals in feed and crossfeed directions. The ratio of cutting forces in feed and cross-feed directions acting on the single tooth at the swept angle of cut is a function of the swept angle of cut and the ratio of radial to tangential cutting force. In the research, it is found that the ratio of radial to tangential cutting force is not affected by cutting conditions and axial rake angle. Therefore, the ratio of radial to tangential cutting force determined by just one preliminary experiment can be used regardless of the cutting conditions. Using the measured cutting forces, the radial immersion ratio is estimated along with the cutting force ratio at that immersion angle. Various experiments show that the radial immersion ratio and instantaneous ratio of the radial to tangential direction cutting force can be estimated by the proposed method very well.

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A Study on the Facal motion and for Detection of area Using Kalman Fillter algorithm (Facal motion 예측 및 영역 검출을 위한 칼만 필터 알고리즘)

  • Seok, Gyeong-Hyu;Park, Bu-Yeon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.6 no.6
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    • pp.973-980
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    • 2011
  • In this paper, we gaze upon the movement faces the problem points are difficult to identify a user based on points and that corrective action is needed to solve the identification system is proposed a new eye. Kalman filter, the current head of the location information was used to estimate the future position in order to determine the authenticity of the face facial features and structural elements, the information and the processing time is relatively fast horizontal and vertical elements of the face using the histogram analysis to detect. And an infrared illuminator obtained by constructing a bright pupil effect in real-time detection of the pupil, the pupil was tracked - geulrinteu vectors are extracted.

Emotional Recognition System Using Eigenfaces (Eigenface를 이용한 인간의 감정인식 시스템)

  • Joo, Young-Hoon;Lee, Sang-Yun;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.2
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    • pp.216-221
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    • 2003
  • Emotions recognition is a topic on which little research has been done to date. This paper proposes a new method that can recognize the human s emotion from facial image by using eigenspace. To do so, first, we get the face image by using the skin color from the original color image acquired by CCD color camera. Second, we get the vector image which is projected the obtained face image into eigenspace. And then, we propose the method for finding out each person s identification and emotion from the weight of vector image. Finally, we show the practical application possibility of the proposed method through the experiment.

REPORT OF THE MANAGEMENT OF GUNSHOT WOUNDS TO THE LEFT FACE (산탄총에 의한 좌측 안면부 손상 환자의 치험례 (증례보고))

  • Kim, Il-Kyu;Lee, Sang-Sun;Oh, Sung-Sup;Choi, Jin-Ho;Kim, Hyung-Don;Oh, Nam-Sik
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.26 no.2
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    • pp.224-227
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    • 2000
  • Gunshot wounds to the face are often dramatic at the time of presentation. Although care must be individualized, protocol approach helps the clinician rapidly evaluate patient and plan treatment. Early X-ray films help to determine the precise trajectory. Rapid neurologic assessment and early CT scanning based on physical examination ot trajectory will allow for identification of even occult injuries early. Lead poisoning arising from bullet lead in the synovial cavity of the hip, synovial cavity of the chest and pleural space have been reported. A combination of surgical debridement and chelation therapy with oral succimer produce a satisfactory outcome. We have managed a patient with Lt facial gunshot wound and Lt mandible angle fracture by open reduction of angle fracture and surgical removal of remnant bullet and medially advanced cheek skin flap. We have obtained good result and report this case with review of literatures.

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A Study on Improvement method of designation criteria for Personal Proofing Service Based on Resident Registration Number (주민등록번호 기반의 온라인 본인확인서비스 기관 지정기준 개선방안 연구)

  • Kim, Jongbae
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.16 no.3
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    • pp.13-23
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    • 2020
  • Currently, online means of replacing resident registration numbers(RRN) include I-Pin, mobile phone, credit card, MyPin, and general-purpose certificate. In order to issue alternative means based on the RRN, it must be designated through the designation review by the Korea Communications Commission(KCC) through a designation review by personal proofing agency and be subject to annual management. However, the criteria for designation and follow-up of the designation of the personal proofing agency carried out by KCC have been used in 2010 without revision, and there are problems that do not conform to the evaluation standards of various alternative means. Therefore, in this paper, we propose a method for improving the designation criteria and management system of the personal proofing service agency. The proposed method analyzes the characteristics of the alternative identification-based personal proofing service and proposes a follow-up management standard that can appropriately evaluate the analyzed characteristics and improves the designation criteria according to the emergence of new alternatives. Through the proposed method, it can be seen that it is possible to strengthen the safety of the personal proofing service based on the alternative means of RRN provided online and face-to-face and to protect the user's personal information.

Efficient Object Tracking System Using the Fusion of a CCD Camera and an Infrared Camera (CCD카메라와 적외선 카메라의 융합을 통한 효과적인 객체 추적 시스템)

  • Kim, Seung-Hun;Jung, Il-Kyun;Park, Chang-Woo;Hwang, Jung-Hoon
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.3
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    • pp.229-235
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    • 2011
  • To make a robust object tracking and identifying system for an intelligent robot and/or home system, heterogeneous sensor fusion between visible ray system and infrared ray system is proposed. The proposed system separates the object by combining the ROI (Region of Interest) estimated from two different images based on a heterogeneous sensor that consolidates the ordinary CCD camera and the IR (Infrared) camera. Human's body and face are detected in both images by using different algorithms, such as histogram, optical-flow, skin-color model and Haar model. Also the pose of human body is estimated from the result of body detection in IR image by using PCA algorithm along with AdaBoost algorithm. Then, the results from each detection algorithm are fused to extract the best detection result. To verify the heterogeneous sensor fusion system, few experiments were done in various environments. From the experimental results, the system seems to have good tracking and identification performance regardless of the environmental changes. The application area of the proposed system is not limited to robot or home system but the surveillance system and military system.

The Relation between Glucose Control, Self-care and Depression in Community Dwelling Older Adults with Diabetes (지역사회 당뇨노인의 혈당조절, 자기관리 정도와 우울)

  • Kim, Se An;Song, Misoon
    • Perspectives in Nursing Science
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    • v.9 no.2
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    • pp.94-101
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    • 2012
  • Purpose: The purpose of this study was to examine the relationship between glucose control, diabetes self-care and depression in community dwelling older adults with type 2 diabetes mellitus. Methods: The cross-sectional survey data of 148 older adults at a senior center were analyzed in this study. We collected data on diabetes self-care, depression, and demographics by face-to-face interviews. Blood samples for HbA1C were obtained from the participants. Results: The average duration of diabetes for the participants was $10.6{\pm}9.31$ years. Fifty percent of the participants had HbA1c higher than 7.0% (mean 7.179%). The level of diabetes self-care was related to depression (r=-.225, p<.01). HbA1c was positively related with the duration of diabetes diagnosis (r=.224, p<.01). The only sub-dimension of diabetes self-care that was related to depression was exercise (r=-.307, p<.01). Conclusion: Only half of the community dwelling older adults with type 2 diabetes had an optimal level of diabetes control. Supported by the evidence, the longer the duration of diabetes since the initial diagnosis, the poorer the glucose control was. Identification and intervention for depression in people with diabetes should be considered to improve diabetes self-care, especially to perform more exercise.

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Facial Manipulation Detection with Transformer-based Discriminative Features Learning Vision (트랜스포머 기반 판별 특징 학습 비전을 통한 얼굴 조작 감지)

  • Van-Nhan Tran;Minsu Kim;Philjoo Choi;Suk-Hwan Lee;Hoanh-Su Le;Ki-Ryong Kwon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.540-542
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    • 2023
  • Due to the serious issues posed by facial manipulation technologies, many researchers are becoming increasingly interested in the identification of face forgeries. The majority of existing face forgery detection methods leverage powerful data adaptation ability of neural network to derive distinguishing traits. These deep learning-based detection methods frequently treat the detection of fake faces as a binary classification problem and employ softmax loss to track CNN network training. However, acquired traits observed by softmax loss are insufficient for discriminating. To get over these limitations, in this study, we introduce a novel discriminative feature learning based on Vision Transformer architecture. Additionally, a separation-center loss is created to simply compress intra-class variation of original faces while enhancing inter-class differences in the embedding space.

A Study on Improvement for Identification of Original Authors in Online Academic Information Service (온라인 학술정보 서비스 상 원저작자 식별 개선 방안 연구)

  • Jung-Wan Yeom;Song-Hwa Hong;Sang-Hyun Joo;Sam-Hyun Chun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.3
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    • pp.133-138
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    • 2024
  • In the modern academic research environment, the advancement of digital technology provides researchers with increasingly diverse and rich access to information, but at the same time, the issue of author identification has emerged as a new challenge. The problem of author identification is a major factor that undermines the transparency and accuracy of academic communication, potentially causing confusion in the accurate attribution of research results and the construction of research networks. In response, identifier systems such as the International Standard Name Identifier (ISNI) and Open Researcher and Contributor ID (ORCID) have been introduced, but still face limitations due to low participation by authors and inaccurate entry of information. This study focuses on researching information management methods for identification from the moment author information is first entered into the system, proposing ways to improve the accuracy of author identification and maximize the efficiency of academic information services. Through this, it aims to renew awareness of the issue of author identification within the academic community and present concrete measures that related institutions and researchers can take to solve this problem.