• 제목/요약/키워드: human pose

검색결과 347건 처리시간 0.026초

A Novel Multi-view Face Detection Method Based on Improved Real Adaboost Algorithm

  • Xu, Wenkai;Lee, Eung-Joo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제7권11호
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    • pp.2720-2736
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    • 2013
  • Multi-view face detection has become an active area for research in the last few years. In this paper, a novel multi-view human face detection algorithm based on improved real Adaboost is presented. Real Adaboost algorithm is improved by weighted combination of weak classifiers and the approximately best combination coefficients are obtained. After that, we proved that the function of sample weight adjusting method and weak classifier training method is to guarantee the independence of weak classifiers. A coarse-to-fine hierarchical face detector combining the high efficiency of Haar feature with pose estimation phase based on our real Adaboost algorithm is proposed. This algorithm reduces training time cost greatly compared with classical real Adaboost algorithm. In addition, it speeds up strong classifier converging and reduces the number of weak classifiers. For frontal face detection, the experiments on MIT+CMU frontal face test set result a 96.4% correct rate with 528 false alarms; for multi-view face in real time test set result a 94.7 % correct rate. The experimental results verified the effectiveness of the proposed approach.

화약류발파작업이 근골격계에 영향을 미치는 자세평가분석 (Anlaysis on the Influence of Work-related Musculoskeletal Disorders in Explosive Blasting Performance)

  • 이정훈;안명석
    • 화약ㆍ발파
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    • 제23권1호
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    • pp.1-8
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    • 2005
  • 화학류발파작업 가운데 장약, 전색, 결선작업은 많은 힘과 시간이 소요되어 작업자세에 따른 직업자의 불편도와 근부담이 증가하게 된다. 따라서 작업상 인적오류를 유발할 가능성이 높아진다. 이러한 원인은 작업자로 하여금 중요한 작업을 누락시키거나 근도반응을 일으켜 결국 사고와 재해로 연결되므로 이에 대한 체계적 연구가 요구된다. 화약발파작업에서 자세의 변화에 따라 발생할 수 있는 위험요인분석에는 OWAS, RULA, REBA, OSHA, JSI, NLE, TVAV, BLUE-X가 있으나 본 연구에서는 OWAS, RULA, REBA기법으로 평가하고 분석하였다. 그 결과 근골격계질환과 2차사고의 발생개연성이 큰 것으로 분석되었다.

돈황비천 복식이 현대복식에 주는 의미 (Influence on Modern Costumes of Dunhuang Feitian costumes)

  • 임영자
    • 복식
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    • 제23권
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    • pp.53-65
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    • 1994
  • The images signifying flight in modern costumes are not made of one characteristic but the combination of complex meanings. Among the distinctive features some of them are as follows. First, the flying styles found in the costumes showed the birds as agents which sent human spirit to the celestial body. By simplifying the images of the wings connecting the present age with the heavenly body, the transforming emotions towards rhythm, direction, and organic curves transcending the real objectively constitutes a new space for expression. Second, colors appeal directly to man's emotions and incites emotional responses. The flying was shown in lines and colors. By using horizontal , vertical, oblique, and spiral lines and contrasted and paralleled colors, man's desire to fly dwells in newly colored space by reflecting speculative emotion through uniting surface. Third, the flying except for the costumes can be found in the advertisement through model's pose and camera technique, the flying itself is described through model's pose, the materials of the costumes, details, and sustaining stuffs. This symbolizes man's wish towards the unknown world vividly and dynamically. As discussed above the spirit of flying was, when expressed distinctively , in accordance with the varying cultural traits and transitions. The shape made by the vitality of symbolizing flying birds and animals along with the flying in the natural aspects such as wind and cloud were reappeared, simplified and symbolized , in modern costumes as consituting a new modeling space.

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Homology modeling of HSPA1L - METTL21A interaction

  • 이승진
    • EDISON SW 활용 경진대회 논문집
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    • 제5회(2016년)
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    • pp.90-95
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    • 2016
  • Heat Shock 70kDa Protein 1-Like(HSPA1L)는 Heat-shock protein70(HSP70) family에 속하는 chaperone protein으로 polypeptide folding, assembly, protein degradation 등 다양한 biological processes에 관여하고 있다. HSPA1L은 human methyltransferase-like protein 21A(METTL21A)에 의해 lysine residue에 methylation이 일어나게 되는데, 암세포에서 일반적인 HSPA1L은 주로 세포질에서 발견되는 반면 methylated HSPA1L의 경우 주로 핵에서 발견이 됨으로써 HSPA1L methylation이 암 세포 성장에 중요할 역할을 할 것이라 추측되며 anti-cancer drug target으로 주목 받고 있다. 하지만 현재 HSPA1L의 구조가 부분적으로만 밝혀져 있어 HSPA1L와 METTL21A가 어떤 residue들이 interaction 하여 binding을 하는지에 대해서 아직 밝혀 지지 않았다. 이로 인해 anti-cancer drug target으로서의 연구에 제한이 있다. 이번 연구에서는 homology modeling(Galaxy-TBM, Galaxy-refine)을 통해 HSPA1L 전체 구조를 밝혀 낸 후, HSPA1L 와 METTL21A를 protein-protein docking을 통해 binding pose 예측을 하였다. 이러한 binding pose를 protein interaction analysis하여 HSPA1L과 METTL21A binding에 관여하는 중요 residue들을 밝혀 냈다. 이러한 structural information은 methylated HSPA1L와 암 세포 성장간의 연관성, 더 나아가 anti-cancer drug 개발로 까지도 이어 질 수 있을 것이라 생각한다.

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Boosting the Face Recognition Performance of Ensemble Based LDA for Pose, Non-uniform Illuminations, and Low-Resolution Images

  • Haq, Mahmood Ul;Shahzad, Aamir;Mahmood, Zahid;Shah, Ayaz Ali;Muhammad, Nazeer;Akram, Tallha
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권6호
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    • pp.3144-3164
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    • 2019
  • Face recognition systems have several potential applications, such as security and biometric access control. Ongoing research is focused to develop a robust face recognition algorithm that can mimic the human vision system. Face pose, non-uniform illuminations, and low-resolution are main factors that influence the performance of face recognition algorithms. This paper proposes a novel method to handle the aforementioned aspects. Proposed face recognition algorithm initially uses 68 points to locate a face in the input image and later partially uses the PCA to extract mean image. Meanwhile, the AdaBoost and the LDA are used to extract face features. In final stage, classic nearest centre classifier is used for face classification. Proposed method outperforms recent state-of-the-art face recognition algorithms by producing high recognition rate and yields much lower error rate for a very challenging situation, such as when only frontal ($0^{\circ}$) face sample is available in gallery and seven poses ($0^{\circ}$, ${\pm}30^{\circ}$, ${\pm}35^{\circ}$, and ${\pm}45^{\circ}$) as a probe on the LFW and the CMU Multi-PIE databases.

Impact of anthropogenic activities on the accumulation of heavy metals in water, sediments and some commercially important fish of the Padma River, Bangladesh

  • M Golam Mortuza
    • Fisheries and Aquatic Sciences
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    • 제27권2호
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    • pp.66-75
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    • 2024
  • Heavy metals are naturally found in the ecosystem, and their presence in the freshwater river is increasing through anthropogenic activities which pose a threat to living beings. In this study, heavy metal concentrations (Zn, Mn, Cu, Cd, Cu, Cr, Pb, and Ni) in different organs (muscle, skin, and gill) of fish from the Padma River were evaluated to quantify, and compare the contamination levels and related human health risks. The results revealed that the heavy metal concentrations in the water, surface sediments, and fish taken from the Padma River were far below the WHO/USEPA's permitted limits. The estimated daily intake (EDI) value in muscle was less than the tolerable daily intake (TDI). The target hazard quotient (THQ) and hazard indexes (HI) were less than 1, showing that consumers face no non-carcinogenic risk (CR). CR values of Cu, Cd, Cr, Pb, and Ni ranged from 4.00 × 10-8 to 6.35 × 10-6, less than 10-4, and total carcinogenic risk (CRt) values ranged from 9.85 × 10-6 to 1.10 × 10-5, indicating some pose a CR from consumption of those fish from the Padma River. To establish a more accurate risk assessment, numerous exposure routes, including inhalation and cutaneous exposure, should be explored.

Automatic Camera Pose Determination from a Single Face Image

  • Wei, Li;Lee, Eung-Joo;Ok, Soo-Yol;Bae, Sung-Ho;Lee, Suk-Hwan;Choo, Young-Yeol;Kwon, Ki-Ryong
    • 한국멀티미디어학회논문지
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    • 제10권12호
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    • pp.1566-1576
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    • 2007
  • Camera pose information from 2D face image is very important for making virtual 3D face model synchronize with the real face. It is also very important for any other uses such as: human computer interface, 3D object estimation, automatic camera control etc. In this paper, we have presented a camera position determination algorithm from a single 2D face image using the relationship between mouth position information and face region boundary information. Our algorithm first corrects the color bias by a lighting compensation algorithm, then we nonlinearly transformed the image into $YC_bC_r$ color space and use the visible chrominance feature of face in this color space to detect human face region. And then for face candidate, use the nearly reversed relationship information between $C_b\;and\;C_r$ cluster of face feature to detect mouth position. And then we use the geometrical relationship between mouth position information and face region boundary information to determine rotation angles in both x-axis and y-axis of camera position and use the relationship between face region size information and Camera-Face distance information to determine the camera-face distance. Experimental results demonstrate the validity of our algorithm and the correct determination rate is accredited for applying it into practice.

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얼굴 깊이 추정을 이용한 3차원 얼굴 생성 및 추적 방법 (A 3D Face Reconstruction and Tracking Method using the Estimated Depth Information)

  • 주명호;강행봉
    • 정보처리학회논문지B
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    • 제18B권1호
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    • pp.21-28
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    • 2011
  • 얼굴의 3차원 정보는 얼굴 인식이나 얼굴 합성, Human Computer Interaction (HCI) 등 다양한 분야에서 유용하게 이용될 수 있다. 그러나 일반적으로 3차원 정보는 3D 스캐너와 같은 고가의 장비를 이용하여 획득되기 때문에 얼굴의 3차원 정보를 얻기 위해서는 많은 비용이 요구된다. 본 논문에서는 일반적으로 손쉽게 얻을 수 있는 2차원의 얼굴 영상 시퀀스로부터 효과적으로 3차월 얼굴 형태를 추적하고 재구성하기 위한 3차원 Active Appearance Model (3D-AAM) 방법을 제안한다. 얼굴의 3차원 변화 정보를 추정하기 위해 학습 영상은 정면 얼굴 포즈로 다양한 얼굴 표정 변화를 포함한 영상과 표정 변화를 갖지 않으면서 서로 크게 다른 얼굴 포즈를 갖는 영상으로 구성한다. 입력 영상의 3차원 얼굴 변화를 추정하기 위해 먼저 서로 다른 포즈를 갖는 학습 영상으로부터 얼굴의 각 특징점(Land-mark)의 기하학적 변화를 이용하여 깊이 정보를 추정하고 추정된 특징점의 깊이 정보를 입력 영상의 2차원 얼굴 변화에 추가하여 최종적으로 입력 얼굴의 3차원 변화를 추정한다. 본 논문에서 제안된 방법은 얼굴의 다양한 표정 변화와 함께 3차원의 얼굴 포즈 변화를 포함한 실험 영상을 이용하여 기존의 AAM에 비해 효과적이면서 빠르게 입력 얼굴을 추적(Fitting)할 수 있으며 입력 영상의 정확한 3차원 얼굴 형태를 생성할 수 있음을 보였다.

Current status of alert alien species management for the establishment of proactive management systems in Korea

  • Son, Seung Hun;Jo, A-Ram;Kim, Dong Eon
    • Journal of Ecology and Environment
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    • 제45권4호
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    • pp.237-254
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    • 2021
  • Background: Some of the introduced alien species introduced settle, multiply, and spread to become invasive alien species (IAS) that threaten biodiversity. To prevent this, Korea and other countries legally designate and manage alien species that pose a risk to the environment. Moreover, 2160 alien species have been introduced in South Korea, of which 1826 animals and 334 plants are designated. The inflow of IAS can have negative effects such as ecosystem disturbance, habitat destruction, economic damage, and health damage to humans. To prevent damage caused by the inflow of IAS in advance, species that could potentially pose a risk to the environment if introduced in South Korea were designated as alert alien species (AAS). Results: The designation criteria were in accordance with the "Act on the Conservation and Use of Biological Diversity" and the "Regulations on the Ecological Risk Assessment of AAS and IAS" by the National Institute of Ecology. The analysis result of risk and damage cases indicated that mammals affect predation, competition, human economic activity, virus infection, and parasite infection. Birds have been demonstrated to affect predation, competition, human economic activity, and health. It was indicated that plants intrude on the ecosystem by competing with native species with their high-population density and capacity to multiply and cause allergic inducement. Interestingly, 300 species, including 25 mammals, 7 birds, 84 fishes, 28 amphibians, 22 reptiles, 1 insect, 32 spiders, 1 mollusk, 1 arthropod, and 99 plants, are included in the list of AAS. Conclusions: AAS designation plays a role in preventing the reduction of biodiversity by IAS in South Korea and preserving native species. Moreover, it is determined to provide considerable economic benefits by preventing socio-economic losses and ecological damage.

An Accurate Forward Head Posture Detection using Human Pose and Skeletal Data Learning

  • Jong-Hyun Kim
    • 한국컴퓨터정보학회논문지
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    • 제28권8호
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    • pp.87-93
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    • 2023
  • 본 논문에서는 사용자의 골격 자세를 분석하여 네트워크 학습 기반으로 거북목 자세를 정확하고 효율적으로 판별하는 시스템을 제안한다. 거북목 증후군이란 목이 구부정하게 앞으로 나오는 자세를 오래 유지함으로써 목의 자세가 바뀌고 뒷목, 어깨, 허리 등에 통증이 생기는 증상을 말하며, 수술이나 약물치료보다 평소의 자세 습관이 효과적이라고 알려져 있다. 기존의 방법들은 웹캠을 이용한 합성곱 신경망을 이용하였고, 이러한 접근법은 영상의 명도와 조명, 피부 색 등에 영향을 받기 때문에 특정 인물에 대해서만 수행되는 문제가 있다. 본 논문에서는 이 문제를 완화하고 자 영상으로부터 골격을 추출하고, 정면보다는 측면에 해당하는 데이터를 학습하여 이전 기법보다 효율적이고 정확하게 거북목 자세를 찾아낸다. 결과적으로 이전 기법에 비해 다양한 실험 장면에서 정확도가 되었음을 보여준다.