• Title/Summary/Keyword: Face Detection

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2D Spatial-Map Construction for Workers Identification and Avoidance of AGV (AGV의 작업자 식별 및 회피를 위한 2D 공간 지도 구성)

  • Ko, Jung-Hwan
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.9
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    • pp.347-352
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    • 2012
  • In this paper, an 2D spatial-map construction for workers identification and avoidance of AGV using the detection scheme of the spatial coordinates based on stereo camera is proposed. In the proposed system, face area of a moving person is detected from a left image among the stereo image pairs by using the YCbCr color model and its center coordinates are computed by using the centroid method and then using these data, the stereo camera embedded on the mobile robot can be controlled for tracking the moving target in real-time. Moreover, using the disparity map obtained from the left and right images captured by the tracking-controlled stereo camera system and the perspective transformation between a 3-D scene and an image plane, depth map can be detected. From some experiments on AGV driving with 240 frames of the stereo images, it is analyzed that error ratio between the calculated and measured values of the worker's width is found to be very low value of 2.19% and 1.52% on average.

Psychometric Properties of the Persian Version of Champion's Health Belief Model Scale for Colorectal Cancer Screening

  • Kharameh, Zahra Taheri;Foroozanfar, Sahar;Zamanian, Hadi
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.11
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    • pp.4595-4599
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    • 2014
  • Background: Colorectal cancer is a serious health problem. Early detection of colorectal cancer is crucial for treatment and reducing mortality. Beliefs related to colorectal cancer have been found to be a factor in a person's decision about colorectal cancer screening programs. To determine such beliefs, a valid and reliable instrument is necessary. Objective:The aim of this study was to adapt and determine the psychometric properties of the Persian version of Champion's Health Belief Model Scale of breast cancer screening in the measurement of beliefs toward colorectal cancer (CRC) screening. Materials and Methods: The 'forward-backward' procedure was applied to translate the instrument from English into Persian. This study was conducted in Iran from June 2012 to May 2013. A convenience sample of 200 individuals aged 50 years and older was recruited from the population at the outpatient clinics in the three teaching hospitals. Validity was assessed using content, face and construct validity. To test reliability, the internal consistency was assessed by using Cronbach's alpha coefficient and test-retest (intraclass correlation coefficient) analyses. Exploratory factor analysis was used to assess the construct validity and determine the factors of adapted Champion's Health Belief Model Scale. Results: The mean age of the participants were 62.5 years (SD=10.8 years) and the majority of them (75.5 percent) were female. The results of exploratory factor analysis indicated a six-factor solution for the questionnaire (benefits, motivation and confidence, seriousness, susceptibility, emotional barriers and background barriers) that jointly accounted for 55.52% of variance observed. Cronbach's alpha of the subscales ranged from 0.57 to 0.89 and test-retest reliability ranged from 0.81 to 0.93 indicating a good range of reliability. Conclusions: The findings of this study suggest that the Persian version of Champion's Health Belief Model Scale of CRC screening has good psychometric properties and could be an appropriate measure for health beliefs related to CRC screening in national and international studies.

A study on Object Contour Detection using improved Dual Active Contour Model (개선된 Dual Active Contour Model을 이용한 물체 윤곽선 검출에 관한 연구)

  • 문창수;유봉길;이웅기
    • Journal of the Korea Society of Computer and Information
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    • v.3 no.1
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    • pp.81-94
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    • 1998
  • In order to extract the contour of interesting object in the image, Kass suggested the Active Contour Model called "Snakes". Snakes is a model which defines the contour of image energy. It also can find the contour of object by minimizing these energy functions. The speed of this model is slow and this model is sensitive of initialization. In order to improve these problems, Gunn extracted the accurate contour by using two initialization. and operated to less sensitive of initialization. This method could extract more accurate contour than the existing method, but it had no effect in the speed and it was sensitive of noise. This paper applied to the Energy Minimization Algorithm about only the pixel within the window applying the window of 8$\times$8 size at each contour point consisting Snakes in order to solve these problems. The method offered in this paper is applied to extract the contour of original image and cup image added to gaussian noise. By tracking the face using this offered method, it is applied to virtual reality and motion tracking. tracking.

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Caprine Dermatitis Caused by Trichophyton mentagrophytes (Trichophyton mentagrophytes에 의한 염소의 피부염)

  • Pal Mahendra;Sukumaran K.;Sejra Anand Ram;Lee Chang Woo
    • Journal of Veterinary Clinics
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    • v.8 no.2
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    • pp.147-152
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    • 1991
  • Trichophyton mentagrophytes was described as a primary cause of mycotic dermatitis in two young goats housed together in a humid, ill-ventilated and unhygienic byre. The diagnosis in both the cases was established on the detection of fungal element in the skin scrapings by potassium hydroxide technique and isolation of the pathogen in pure growth on mycological medium at 30$^{\circ}C$. The lesions were found on the face of one kid and on the neck and ear of another one. Two adult goats housed in the same enclosure were found to be free from this disease. Further, there was no evidence of ringworm in the goat owner and his family members. Genetic crossing of both the isolates on modified sunflower seed medium indicated that they belonged to (―) mating type. Hair performation test revealed the keratolytic activity of both the strains of T. mentagrophytes. The public health significance and chemotherapy are also discussed. The question of source of infection could not be emphatically established.

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Automatic Detecting and Tracking Algorithm of Joint of Human Body using Human Ratio (인체 비율을 이용한 인체의 조인트 자동 검출 및 객체 추적 알고리즘)

  • Kwak, Nae-Joung;Song, Teuk-Seob
    • The Journal of the Korea Contents Association
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    • v.11 no.4
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    • pp.215-224
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    • 2011
  • There have been studying many researches to detect human body and to track one with increasing interest on human and computer interaction. In this paper, we propose the algorithm that automatically extracts joints, linked points of human body, using the ratio of human body under single camera and tracks object. The proposed method gets the difference images of the grayscale images and ones of the hue images between input image and background image. Then the proposed method composes the results, splits background and foreground, and extracts objects. Also we standardize the ratio of human body using face' length and the measurement of human body and automatically extract joints of the object using the ratio and the corner points of the silhouette of object. After then, we tract the joints' movement using block-matching algorithm. The proposed method is applied to test video to be acquired through a camera and the result shows that the proposed method automatically extracts joints and effectively tracks the detected joints.

A System for Improving Fairness of Online Test Using Camera (카메라를 이용한 온라인 시험 공정성 강화 시스템)

  • Ko, Joo-Young;Shim, Jae-Chang;Kim, Hyen-Ki
    • Journal of Korea Multimedia Society
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    • v.12 no.10
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    • pp.1427-1435
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    • 2009
  • E-Learning is different from the traditional classroom learning and examinees can take a class individually anywhere by online. And it is difficult to proctor an examination because they also take a test by online. However the results of the online test are included in their examination scores. Therefore, it is very important to authenticate the examinees. In this paper, we propose improvement of fairness system for online test using camera. Students can take a picture after every online classes and it has been saved. And during the test, ELTS(e-Learning Test System) takes images, detects the faces, and protects from getting another person to sit for cheating. After examination, the images have been transferred with the answer sheets to the cyber school management system. And a report card will be printed out with the user's images. Moreover, it will authenticate oneself and protect the online test from cheating.

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Iris Detection at a Distance by Non-volunteer Method (비강압적 방법에 의한 원거리에서의 홍채 탐지 기법)

  • Park, Kwon-Do;Kim, Dong-Su;Kim, Jeong-Min;Song, Young-Ju;Koh, Seok-Joo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.705-708
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    • 2018
  • Among biometrics commercialized for security, iris recognition technology has the most excellent security for the probability of the match between individuals is the lowest. Current commercialized iris recognition technology has excellent recognition ability, but this technology has a fatal drawback. Without the user's active cooperation, it cannot recognize the iris correctly. To make up for this weakness, recent trend of iris recognition development mounts a non-volunteering, unconstrained method. According to this information, the objective of this research is developing a module that can identify people iris from a video acquired by high performance infrared camera in a range of 3m and in a involuntary way. For this, we import images from the video and find people's face and eye positions from the images using Haar classifier trained through Cascade training method. finally, we crop the iris by Hough circle transform and compare it with data from the database to identify people.

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A study on User experience of Virtual Beauty Makeup Applications (가상 뷰티 메이크업 애플리케이션의 사용자 경험 연구)

  • Woo, Ji-Hye;Kim, Seung-In
    • Journal of Digital Convergence
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    • v.18 no.11
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    • pp.459-464
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    • 2020
  • This study is a study that analyzes the user experience of a virtual makeup application in the beauty industry where color or formulation testing is important. Recently, cases of beauty smart stores and beauty applications using AR and AI are increasing. However, since virtual makeup is different from testing a real product, it is necessary to derive needs through research from the user's side. In order to compare user preferences by using AR and AI cases, six factors based on the emotional interface model were analyzed through a questionnaire to identify items with statistically significant figures. As a result, the user felt comfortable with the virtual makeup function, but showed that it needs to be supplemented in terms of reliability. Since this study focused on the customer experience as a real user and identified the main experience factors and needs of virtual makeup through two types of comparison, it is hoped that this study will be useful as a prior study.

Mobile Photo Shooting Guide System for A Blind Person (시각 장애인을 위한 모바일 사진촬영 가이드 시스템)

  • Kim, Taehyub;Kim, Doyun;Im, Donghyuk;Hong, Hyunki
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.7
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    • pp.167-174
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    • 2013
  • Various smart phone applications have been widely developed and an intelligent service to take a picture for the visually handicapped is needed. By using an auditory service and/or other's help, the blind capture an image with their cameras for keeping a record or exchanging the information with another people. However, they are difficult to take the wanted picture because they are unable to grasp the visual contents in the viewfinder. This paper presents a novel guiding system for the blind people to take a picture with the smart phone. The proposed method identifies a person in the picture and determines the presence of eye blinks and blurring. The system provides a guiding information such as camera directions, which are transferred into the blind user with auditory service.

Research of video based Vibraimage technology stimulation examination KOCOSA (영상기반의 바이브라이미지 기술을 이용한 자극 검사에 대한 연구)

  • Lee, Jai-Suk;Lee, Il-ho;Lee, Tae-hyun;Choi, Jin-kwan;Chung, Suk-hwa;Han, Ji-soo
    • Convergence Security Journal
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    • v.15 no.3_1
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    • pp.41-51
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    • 2015
  • Human have more complicate and skilled ability for lying even cheat ourself. It is not easy to cheat unconscious things like sweat, eyes, or voice, but if some one cheat own self, he can cheat every of that. Lie is one of the way to spread our gene and our instinct make a lie. Every living organism even bacteria or virus use similar trick to survive. In human body, there are more complicate and profound mechanism for lying like breathe, sweat, eyes, face or voice. We can control some of that and make a fake, but it can't be perfect. Human also called 'Homo Fallax' cause we have a language and skill to lie with it. In present, we can detect lie with polygraph, but it has few weakness. So we try to use Vibraimage technology for resolve it. In this paper, we describe how to use Vibraimage for lie detection and the research history.