• Title/Summary/Keyword: Face Detection

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Fast Detection of Finger-vein Region for Finger-vein Recognition (지정맥 인식을 위한 고속 지정맥 영역 추출 방법)

  • Kim, Sung-Min;Park, Kang-Roung;Park, Dong-Kwon;Won, Chee-Sun
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.1
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    • pp.23-31
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    • 2009
  • Recently, biometric techniques such as face recognition, finger-print recognition and iris recognition have been widely applied for various applications including door access control, finance security and electric passport. This paper presents the method of using finger-vein pattern for the personal identification. In general, when the finger-vein image is acquired from the camera, various conditions such as the penetrating amount of the infrared light and the camera noise make the segmentation of the vein from the background difficult. This in turn affects the system performance of personal identification. To solve this problem, we propose the novel and fast method for extracting the finger-vein region. The proposed method has two advantages compared to the previous methods. One is that we adopt a locally adaptive thresholding method for the binarization of acquired finger-vein image. Another advantage is that the simple morphological opening and closing are used to remove the segmentation noise to finally obtain the finger-vein region from the skeletonization. Experimental results showed that our proposed method could quickly and exactly extract the finger-vein region without using various kinds of time-consuming filters for preprocessing.

Affective Priming Effect on Cognitive Processes Reflected by Event-related Potentials (ERP로 확인되는 인지정보 처리에 대한 정서 점화효과)

  • Kim, Choong-Myung
    • The Journal of the Korea Contents Association
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    • v.16 no.5
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    • pp.242-250
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    • 2016
  • This study was conducted to investigate whether Stroop-related cognitive task will be affected according to the preceding affective valence factored by matchedness in response time(RT) and whether facial recognition will be indexed by specific event-related potentials(ERPs) signature in normal person as in patients suffering from affective disorder. ERPs primed by subliminal(30ms) facial stimuli were recorded when presented with four pairs of affect(positive or negative) and cognitive task(matched or mismatched) to get ERP effects(N2 and P300) in terms of its amplitude and peak latency variations. Behavioral response analysis based on RTs confirmed that subliminal affective stimuli primed the target processing in all affective condition except for the neutral stimulus. Additional results for the ERPs performed in the negative affect with mismatched condition reached significance of emotional-face specificity named N2 showing more amplitude and delayed peak latency compared to the positive counterpart. Furthermore the condition shows more positive amplitude and earlier peak latency of P300 effect denoting cognitive closure than the corresponding positive affect condition. These results are suggested to reflect that negative affect stimulus in subliminal level is automatically inhibited such that this effect had influence on accelerating detection of the affect and facilitating response allowing adequate reallocation of attentional resources. The functional and cognitive significance with these findings was implied in terms of subliminal effect and affect-related recognition modulating the cognitive tasks.

Facial Contour Extraction in Moving Pictures by using DCM mask and Initial Curve Interpolation of Snakes (DCM 마스크와 스네이크의 초기곡선 보간에 의한 동영상에서의 얼굴 윤곽선 추출)

  • Kim Young-Won;Jun Byung-Hwan
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.43 no.4 s.310
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    • pp.58-66
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    • 2006
  • In this paper, we apply DCM(Dilation of Color and Motion information) mask and Active Contour Models(Snakes) to extract facial outline in moving pictures with complex background. First, we propose DCM mask which is made by applying morphology dilation and AND operation to combine facial color and motion information, and use this mask to detect facial region without complex background and to remove noise in image energy. Also, initial curves are automatically set according to rotational degree estimated with geometric ratio of facial elements to overcome the demerit of Active Contour Models which is sensitive to initial curves. And edge intensity and brightness are both used as image energy of snakes to extract contour at parts with weak edges. For experiments, we acquired total 480 frames with various head-poses of sixteen persons with both eyes shown by taking pictures in inner space and also by capturing broadcasting images. As a result, it showed that more elaborate facial contour is extracted at average processing time of 0.28 seconds when using interpolated initial curves according to facial rotation degree and using combined image energy of edge intensity and brightness.

Analysis of Music and Photo for User Creative Movie (동영상 콘텐츠 생성을 위한 음악과 사진 분석)

  • Chung, Myoung-Bum;Ko, Il-Ju
    • The KIPS Transactions:PartD
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    • v.14D no.4 s.114
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    • pp.381-388
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    • 2007
  • Consumers changed to the subject to produce a digital contents as data transmission technique is advanced and a digital machine is diffused variously. Users are interested greatly in a user creative movie (UCM) production among various online contents. The UCM production method which uses the music and picture is the method that users make the UCM more easily. However, the UCM production service has the problem that any association does not exist in the music and picture and that the picture changes according to fixed time interval without the relation at a music rhythm. To solve this problem, we propose the UCM production method which uses a music analysis and picture analysis in the paper. A music analysis finds a picture change time according to the rhythm and a picture analysis finds the association of the picture. A music analysis finds strong parts of the sound which uses Root-Mean-Square (RMS). And a picture analysis classifies the picture as a scenery picture and people picture which uses structure simplicity of the picture(SSP) and face region detection. A picture analysis got correct result of 86.4% in the experiment and we can finds the association at each picture and arranges the sequence which the picture appears. Therefore, if we use a music and picture analysis at the UCM production, users may make natural and efficient movie.

PULP CANAL OBLITERATION CAUSED BY TRAUMA (외상에 의한 근관내 석회화 변성 치아의 처치)

  • Lee, Sung-Ryong;Lee, Chang-Seop;Lee, Sang-Ho;Lee, Nan-Young
    • Journal of the korean academy of Pediatric Dentistry
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    • v.31 no.2
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    • pp.256-261
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    • 2004
  • Pulp canal obliteration(PCO) is seen commonly in dental pulp after traumatic tooth injuries and is recognized clinically as early as 3 monthly after injury. Pulp canal obliteration is characterized by deposition of hard tissue within the root canal space and yellow discoloration of the clinical crown. Opinion differs among practitioners as to whether to treat these cases upon early detection of PCO or to observe them until symptoms or radiographic signs of pulpal necrosis are detected. PCO may make root canal treatment necessary because of the development of apical periodotitis or for cosmetic reasons. If carefully executed, root canal treatment in teeth with an PCO is hightly successful and may act as a basis for internal bleaching. During a game, a 12-year-old girl was hit in the face. At that time, she was diagnosis a subluxation of the maxillary right central incisor. At the 24-month recall examination, a root canal of the tooth had been calcified and discolored gradually. We performed endodontic treatment to prevent perfect pulp canal obliteration and internal bleaching.

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Encoder Type Semantic Segmentation Algorithm Using Multi-scale Learning Type for Road Surface Damage Recognition (도로 노면 파손 인식을 위한 Multi-scale 학습 방식의 암호화 형식 의미론적 분할 알고리즘)

  • Shim, Seungbo;Song, Young Eun
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.2
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    • pp.89-103
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    • 2020
  • As we face an aging society, the demand for personal mobility for disabled and aged people is increasing. In fact, as of 2017, the number of electric wheelchair in the country continues to increase to 90,000. However, people with disabilities and seniors are more likely to have accidents while driving, because their judgment and coordination are inferior to normal people. One of the causes of the accident is the interference of personal vehicle steering control due to unbalanced road surface conditions. In this paper, we introduce a encoder type semantic segmentation algorithm that can recognize road conditions at high speed to prevent such accidents. To this end, more than 1,500 training data and 150 test data including road surface damage were newly secured. With the data, we proposed a deep neural network composed of encoder stages, unlike the Auto-encoding type consisting of encoder and decoder stages. Compared to the conventional method, this deep neural network has a 4.45% increase in mean accuracy, a 59.2% decrease in parameters, and an 11.9% increase in computation speed. It is expected that safe personal transportation will be come soon by utilizing such high speed algorithm.

Technology Development for Non-Contact Interface of Multi-Region Classifier based on Context-Aware (상황 인식 기반 다중 영역 분류기 비접촉 인터페이스기술 개발)

  • Jin, Songguo;Rhee, Phill-Kyu
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.6
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    • pp.175-182
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    • 2020
  • The non-contact eye tracking is a nonintrusive human-computer interface providing hands-free communications for people with severe disabilities. Recently. it is expected to do an important role in non-contact systems due to the recent coronavirus COVID-19, etc. This paper proposes a novel approach for an eye mouse using an eye tracking method based on a context-aware based AdaBoost multi-region classifier and ASSL algorithm. The conventional AdaBoost algorithm, however, cannot provide sufficiently reliable performance in face tracking for eye cursor pointing estimation, because it cannot take advantage of the spatial context relations among facial features. Therefore, we propose the eye-region context based AdaBoost multiple classifier for the efficient non-contact gaze tracking and mouse implementation. The proposed method detects, tracks, and aggregates various eye features to evaluate the gaze and adjusts active and semi-supervised learning based on the on-screen cursor. The proposed system has been successfully employed in eye location, and it can also be used to detect and track eye features. This system controls the computer cursor along the user's gaze and it was postprocessing by applying Gaussian modeling to prevent shaking during the real-time tracking using Kalman filter. In this system, target objects were randomly generated and the eye tracking performance was analyzed according to the Fits law in real time. It is expected that the utilization of non-contact interfaces.

A Research on Adversarial Example-based Passive Air Defense Method against Object Detectable AI Drone (객체인식 AI적용 드론에 대응할 수 있는 적대적 예제 기반 소극방공 기법 연구)

  • Simun Yuk;Hweerang Park;Taisuk Suh;Youngho Cho
    • Journal of Internet Computing and Services
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    • v.24 no.6
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    • pp.119-125
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    • 2023
  • Through the Ukraine-Russia war, the military importance of drones is being reassessed, and North Korea has completed actual verification through a drone provocation towards South Korea at 2022. Furthermore, North Korea is actively integrating artificial intelligence (AI) technology into drones, highlighting the increasing threat posed by drones. In response, the Republic of Korea military has established Drone Operations Command(DOC) and implemented various drone defense systems. However, there is a concern that the efforts to enhance capabilities are disproportionately focused on striking systems, making it challenging to effectively counter swarm drone attacks. Particularly, Air Force bases located adjacent to urban areas face significant limitations in the use of traditional air defense weapons due to concerns about civilian casualties. Therefore, this study proposes a new passive air defense method that aims at disrupting the object detection capabilities of AI models to enhance the survivability of friendly aircraft against the threat posed by AI based swarm drones. Using laser-based adversarial examples, the study seeks to degrade the recognition accuracy of object recognition AI installed on enemy drones. Experimental results using synthetic images and precision-reduced models confirmed that the proposed method decreased the recognition accuracy of object recognition AI, which was initially approximately 95%, to around 0-15% after the application of the proposed method, thereby validating the effectiveness of the proposed method.

Helicobacter pylori Infection and Gastroduodenal Pathology in Children with Upper Gastrointestinal Symptoms (상부 위장관 증세가 있는 소아의 위십이지장병변 및 Helicobacter pylori 감염)

  • Yoon, Young-Ran;Kim, Mi-Ryeung;Lim, Jae-Young;Choi, Myoung-Bum;Park, Chan-Hoo;Woo, Hyang-Ok;Youn, Hee-Shang;Ko, Gyung-Hyuck;Kang, Hyung-Lyun;Baik, Seung-Chul;Lee, Woo-Kon;Cho, Myung-Je;Rhee, Kwang-Ho
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.6 no.2
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    • pp.103-111
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    • 2003
  • Purpose: This study was undertaken to evaluate the gastroduodenal pathology and Helicobacter pylori infection in children with upper gastrointestinal symptoms. Methods: One hundred and seven pediatric patients with upper gastrointestinal symptoms were undergone endoscopy at the Gyeongsang National University Hospital from June 1990 to April 1991. Histopathologic examination was done by H & E staining of gastric antral biopsy specimen and gastritis was defined according to the Sydney System. Tissue H. pylori status was evaluated with the urease test using Christensen's urea broth and H & E or Warthin-Starry silver staining of gastric antral biopsy specimen. IgG Immunoblotting were also performed to detect specific anti-H. pylori antibody in these patients. Results: The reasons for endoscopy were recurrent abdominal pain, acute abdominal pain, sallow face, hunger pain, and frequent nausea. Variable degrees of gastric mucosal hyperemia were found in most of the patients. Gastric hemorrhagic spots, gastric ulcer, duodenal ulcer, duodenal erosion, and hemorrhagic duodenitis were rare endoscopic findings. Histologic chronic gastritis was found in 88% of 107 patients. Histologic chronic duodenitis was observed in all 99 patients whose tissue were available. Gastric tissue H. pylori was positive in 57% of 107 patients by one of the ureasetest, H & E staining and Warthin-Starry silver staining. However, gastric tissue H. pylori detection rate was lower in the younger age groups. Anti-H. pylori IgG antibodies were detectable in 96% of 107 patients. Conclusion: Chronic gastroduodenitis and anti-H. pylori IgG antibody were ubiquitous in children with upper gastrointestinal symptoms.

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Clinical features of congenital muscular torticollis (선천성 근성 사경의 임상적 특징)

  • Jun, Ji Eun;Ryu, Hye Kyeong;Shim, Jae Won;Shim, Jung Yeon;Jung, Hye Lim;Park, Moon Soo;Kim, Deok-Soo
    • Clinical and Experimental Pediatrics
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    • v.50 no.3
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    • pp.241-247
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    • 2007
  • Purpose : Congenital muscular torticollis (CMT) is a common and benign congenital disorder of the musculoskeletal system in neonates and infants. The pathophysiology is that the sternocleidomastoid muscle (SCM) is shortened on the involved side by fibrosis, leading to ipsilateral tilt and contralateral rotation of the face and chin. In this study, we investigated the clinical features of CMT, the role of ultrasonography (USG) in prediction of prognoses and the clinical significance of early detection and treatment. Methods : Forty seven patients (M:F=31:16) were diagnosed as a CMT between March 2003 and May 2006. We reviewed age at diagnosis, physical findings, USG findings, treatment and therapeutic outcome from their medical records. Results : The median age at diagnosis was 90 days (18 days-9 years, 7 months) and the right side of neck was affected in more patients (right : left=26:21). Of 24 patients with a palpable neck mass, 21 had USG; 19 cases showed sternocleidomastoid tumor (SMT). In cases with no neck mass, USG was performed in 11 patients; seven had postural torticollis (POST), three had SMT and one had muscular torticollis (MT). Among 40 patients with follow-up, 36 had total resolution. There was negative correlation between the age at diagnosis and the recovery time, whereas the final outcome was not correlated with USG findings. However, the patients without positive findings in USG had earlier resolution (1 month vs 2.6 months, P=0.0008). The patients with SMT had earlier diagnosis and excellent outcomes. The patients with MT were delayed to diagnosis and had the longest time to resolve. Lastly, the patients with POST had delayed diagnoses, but they had excellent outcomes. Conclusion : Since the patients with delayed diagnoses, in despite of benign courses, may take a long time to resolve and rarely need surgical treatment, it is important to diagnose and treat early. This study showed that USG findings of the SCM may be used as predictive factors.