• 제목/요약/키워드: Body Feature

검색결과 490건 처리시간 0.025초

Concurrent Capillaria and Heterakis Infections in Zoo Rock Partridges, Alectoris graeca

  • Park, Sang-Ik;Shin, Sung-Shik
    • Parasites, Hosts and Diseases
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    • 제48권3호
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    • pp.253-257
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    • 2010
  • Two adult rock partridges raised in a city zoo were examined parasitologically and pathologically. Two distinctive eggs resembling those of Capillaria and Heterakis were detected in the feces. At necropsy, a markedly-dilated duodenum with severe catarrhal exudates, containing adult worms of Capillaria sp. and Heterakis sp. in the cecum, was observed. Male Capillaria had the cloacal aperture extended almost terminally with a small bursal lobe and an unsheathed spicule with transverse folds without spines. Female Capillaria had a vulva that was slightly prominent and slightly posterior to the union of the esophagus and intestine. The esophagus of the adult Capillaria was more than a half as long as the body in the male, but was much shorter in the female. Based on these morphological features, the capillarid nematode was identified as Capillaria obsignata. The male adult worms of Heterakis was identifiable by 2 dissimilar spicules, a unique morphological feature where the right spicule was considerably longer than the left, which is also a characteristic feature of Heterakis gallinarum. This is the first report of concurrent infections with C. obsignata and H. gallinarium in rock partridges.

The Study of Space Organization and Characteristic on Chinese Traditional Courtyard in Pingyao Ancient City

  • Gao, Jie;Zhang, Junhua;Kinoshita, Takeshi
    • 한국조경학회:학술대회논문집
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    • 한국조경학회 2007년도 Journal of Landscape Architecture in Asia Vol.3
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    • pp.162-167
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    • 2007
  • The courtyard life style ever existed as the major traditional living form in wide north China areas. The research made case study and specific analysis on the space organization, constitution and order of the courtyard living, as well as the dwelling accessory manners and transfer space patterns both inside and outside of the courtyard. Pingyao ancient city as the research sample (object), its courtyard composition, classification and characteristic are studied profoundly to explore local traditional cultural traits. On upon the analysis, the research is concluded that the civil courtyard in the ancient Pingyao city bears the feature of in a continuous changing process, which represented as 'from confined to opening', 'from narrow to wide', 'from public to private'. Despite of the courtyard dwelling location and direction, all accessories architectural items on the main room roof were influenced by the geomantic omen culture. As of the inside wall body, entrance and side wall of the courtyard, the woodcraft, stone carving, brick carving on above not only could functioned in architecture artistic, but also express the traditional education spiritual feature.

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2.5D human pose estimation for shadow puppet animation

  • Liu, Shiguang;Hua, Guoguang;Li, Yang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권4호
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    • pp.2042-2059
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    • 2019
  • Digital shadow puppet has traditionally relied on expensive motion capture equipments and complex design. In this paper, a low-cost driven technique is presented, that captures human pose estimation data with simple camera from real scenarios, and use them to drive virtual Chinese shadow play in a 2.5D scene. We propose a special method for extracting human pose data for driving virtual Chinese shadow play, which is called 2.5D human pose estimation. Firstly, we use the 3D human pose estimation method to obtain the initial data. In the process of the following transformation, we treat the depth feature as an implicit feature, and map body joints to the range of constraints. We call the obtain pose data as 2.5D pose data. However, the 2.5D pose data can not better control the shadow puppet directly, due to the difference in motion pattern and composition structure between real pose and shadow puppet. To this end, the 2.5D pose data transformation is carried out in the implicit pose mapping space based on self-network and the final 2.5D pose expression data is produced for animating shadow puppets. Experimental results have demonstrated the effectiveness of our new method.

Human Activity Recognition with LSTM Using the Egocentric Coordinate System Key Points

  • Wesonga, Sheilla;Park, Jang-Sik
    • 한국산업융합학회 논문집
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    • 제24권6_1호
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    • pp.693-698
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    • 2021
  • As technology advances, there is increasing need for research in different fields where this technology is applied. On of the most researched topic in computer vision is Human activity recognition (HAR), which has widely been implemented in various fields which include healthcare, video surveillance and education. We therefore present in this paper a human activity recognition system based on scale and rotation while employing the Kinect depth sensors to obtain the human skeleton joints. In contrast to previous approaches that use joint angles, in this paper we propose that each limb has an angle with the X, Y, Z axes which we employ as feature vectors. The use of the joint angles makes our system scale invariant. We further calculate the body relative direction in the egocentric coordinates in order to provide the rotation invariance. For the system parameters, we employ 8 limbs with their corresponding angles each having the X, Y, Z axes from the coordinate system as feature vectors. The extracted features are finally trained and tested with the Long short term memory (LSTM) Network which gives us an average accuracy of 98.3%.

Three-dimensional human activity recognition by forming a movement polygon using posture skeletal data from depth sensor

  • Vishwakarma, Dinesh Kumar;Jain, Konark
    • ETRI Journal
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    • 제44권2호
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    • pp.286-299
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    • 2022
  • Human activity recognition in real time is a challenging task. Recently, a plethora of studies has been proposed using deep learning architectures. The implementation of these architectures requires the high computing power of the machine and a massive database. However, handcrafted features-based machine learning models need less computing power and very accurate where features are effectively extracted. In this study, we propose a handcrafted model based on three-dimensional sequential skeleton data. The human body skeleton movement over a frame is computed through joint positions in a frame. The joints of these skeletal frames are projected into two-dimensional space, forming a "movement polygon." These polygons are further transformed into a one-dimensional space by computing amplitudes at different angles from the centroid of polygons. The feature vector is formed by the sampling of these amplitudes at different angles. The performance of the algorithm is evaluated using a support vector machine on four public datasets: MSR Action3D, Berkeley MHAD, TST Fall Detection, and NTU-RGB+D, and the highest accuracies achieved on these datasets are 94.13%, 93.34%, 95.7%, and 86.8%, respectively. These accuracies are compared with similar state-of-the-art and show superior performance.

A Study on the Characteristics of the Manufacturing Method of Handbags by Brand

  • Youshin Park
    • 패션비즈니스
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    • 제27권6호
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    • pp.66-84
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    • 2023
  • Handbags are a part of fashion and while their significance and value are increasing, research on this topic is lacking. This study defines handbags and categorizes the materials used for making handbags, sewing methods, expression techniques, and terminologies related to accessories. A total of 1,743 handbags that were released from the Spring 2020 to Fall 2023, Ready-to-Wear collections by 8 selected brands (Hermes, Dior, Fendi, Chanel, Louis Vuitton, Prada, Gucci, and Alexander McQueen), were analyzed. Out of these, 732 unique designs, excluding those with only color variations, were studied. The most common sewing methods were 'Cut, sewing, and edge painting', 'Cylinder arm sewing', 'Cut, edge painting, and sewing', and 'Inverted seam', in that order. Slim strap designs primarily used the 'Cut, sewing, and edge painting' method, whereas the body, especially with narrow and hard leather, was best suited for the 'Cylinder arm sewing machine'. For expression techniques, the most frequently used methods were 'Quilting', 'Metal Eyelet', 'Embossing', 'Printing', 'Punching', and 'Weaving', respectively. The characteristics of each brand's production methods, expression techniques, and accessories were as follows: First, the exposure of logos and monograms is prominent. Unlike clothing, handbags often prominently feature the brand's logo or monogram. Second, signature quilting is a prominent feature. Quilting effectively conveys the brand's signature style, providing cushioning, volume, and pattern effects. Third, sustainable development is a growing trend. Brands are increasingly applying eco-friendly and socially responsible designs.

통계적 얼굴 모델을 이용한 부분적으로 가려진 얼굴 검출 (Detection of Faces with Partial Occlusions using Statistical Face Model)

  • 서정인;박혜영
    • 정보과학회 논문지
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    • 제41권11호
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    • pp.921-926
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    • 2014
  • 얼굴 검출은 입력 영상에서 얼굴 영역을 추출하는 과정으로, 얼굴 인식 및 인증 과정의 속도와 정확도를 효율적으로 높여주는 작업이며 그 응용분야도 다양하다. 기존에 개발된 얼굴 검출 방법들은 얼굴의 전체 형태를 바탕으로 검출을 수행하기 때문에 착용물 또는 신체 부위로 인해 일부가 가려져 폐색된 얼굴에 대해서는 그 검출 성능이 크게 하락할 수 있다. 이러한 문제를 해결하기 위하여 이 논문에서는 얼굴 영상을 지역적 특징 기술자의 집합으로 표현하고, 이에 대한 통계적 확률 모델을 추정한 뒤 이를 이용하여 입력 영상에서 얼굴 영역을 추출하는 방법을 제안한다. AR 데이터베이스와 Caltech 데이터베이스를 이용한 실험을 통해 제안하는 얼굴 검출 방법이 일부가 폐색된 얼굴 검출에 효과적임을 확인하였다.

그레이디언트 방향 특징을 이용한 손가락 관절문 인식 (Finger-Knuckle Print Recognition Using Gradient Orientation Feature)

  • 김민기
    • 한국콘텐츠학회논문지
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    • 제12권12호
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    • pp.517-523
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    • 2012
  • 생체인식(biometrics)은 인간이 갖는 신체적 특징을 활용하여 개인을 식별하는 연구로, 비밀번호나 ID카드 등의 전통적인 개인 식별 방법을 대체하거나 보완할 수 있는 방법으로 많은 관심을 받고 있다. 생체인식의 대상 중 손가락 관절문은 지문, 홍채, 귀, 장문에 비하여 비교적 최근에 연구가 시작되었다. 본 논문은 그레이디언트 방향 특징을 이용하여 손가락 관절문을 효과적으로 인식하는 방법을 제안한다. 손가락 관절문의 주요 특징은 주름의 크기와 방향으로, 이러한 특징을 안정적으로 획득하기 위하여 불균일한 조명과 낮은 대비를 개선하는 전처리를 수행한 후 그레이디언트의 방향 정보를 추출하여 특징벡터를 구성하였다. 제안된 방법의 성능을 측정하기 위하여 158명으로부터 획득한 총 790개 손가락 관절문 영상을 대상으로 실험을 수행하였다. 실험 결과 99.69%의 인식률을 얻었으며, 기존 관련 연구에 비하여 1.882라는 높은 결정계수를 보여 제안된 방법이 손가락 관절문 인식에 효과적임을 확인하였다.

힌두 사상에 영향을 받은 인도 무봉의(無縫衣)의 조형미 (The Aesthetics of Indian Unstitched Costumes Affected by Hinduism)

  • 서봉하;김민자
    • 복식
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    • 제57권10호
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    • pp.129-141
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    • 2007
  • In the cultural realm of Hinduism centering around India, traditional costumes such as Sari, and Dhoti are worn up to date under the influence of religious faith, tradition, and fundamentalism. The purpose of this study is to clarify the religious meaning of unstitched traditional Indian costume and inquire into the figurative beauty of it. This study revolved around India, and the aesthetic feature affected by hinduism was examined based on the literature references and the figurative feature and aesthetic value of unstitched costume were analyzed. The most important feature of Indian costume is the unstitched costume without joining pieces of cloth by using a needle and thread, symbolizing the purity based on the cosmology of Hindu. In the unstitched costume of India, natural drapery that is the large cloth, slipped or tied on body, wrapping it affluently, is emphasized. Unstitched costume of India, based on cosmology of Hindu and the concept of purity, is still broadly worn by people under the influence of fundamentalism and conservative atmosphere. Religious idea is expressed and a beauty of concealment, emphasizing the chastity, is shown in the unstitched costume of India, while a beauty of nature is distinctively revealed in the non-structural and asymmetric drapery costume due to the unique wearing style. In addition, 'A beauty of symbolism' appears in the wearing method, color, the part of wearing, and ornament. Religion has affected overall culture that is inclusive art, aesthetics, and social structure and has contributed to the formulation of costume style. Unstitched costume of India is the unique tradition of India and identity, based on the religious idea.

뉴스 댓글의 감정 분류를 위한 자질 가중치 설정 (Feature Weighting for Opinion Classification of Comments on News Articles)

  • 이공주;김재훈;서형원;류길수
    • Journal of Advanced Marine Engineering and Technology
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    • 제34권6호
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    • pp.871-879
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    • 2010
  • 본 논문은 뉴스 기사의 댓글에 대한 사용자의 감정을 분류하는 시스템을 제안한다. 제안된 시스템은 댓글의 문서 분류 시스템으로 기계학습에 기반을 두고 있다. 댓글은 일반적인 문서와 달리 본문을 가지고 있으며 본문의 내용이 독자의 감정에 영향을 줄 수 있다. 본 논문에서는 이와 같은 댓글의 특성과 여러 가지 자원을 이용하여 감정 분류를 위한 자질을 제안하고 이들의 가중치 설정 방법을 제안한다. 실험을 통해 이러한 가중치 설정 방법이 한글 뉴스의 댓글에 대한 감정을 분류하는데 효과적임을 알 수 있었다. 또한 댓글과 같이 많은 오류를 포함하는 문서에 대해서 문자 단위의 2음절과 3음절 자질도 충분히 이용 가치가 있음을 확인할 수 있었다. 향후에 뉴스 기사의 댓글뿐 아니라 상품 댓글 등 일반적인 감정 분석에 적용할 계획이다.