• 제목/요약/키워드: inner-object

검색결과 169건 처리시간 0.026초

핵심 객체 추출에 기반한 비주거 시설의 화재불꽃 추출에 관한 기초 연구 (A Basic Study on the Fire Flame Extraction of Non-Residential Facilities Based on Core Object Extraction)

  • 박창민
    • 디지털산업정보학회논문지
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    • 제13권4호
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    • pp.71-79
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    • 2017
  • Recently, Fire watching and dangerous substances monitoring system has been being developed to enhance various fire related security. It is generally assumed that fire flame extraction plays a very important role on this monitoring system. In this study, we propose the fire flame extraction method of Non-Residential Facilities based on core object extraction in image. A core object is defined as a comparatively large object at center of the image. First of all, an input image and its decreased resolution image are segmented. Segmented regions are classified as the outer or the inner region. The outer region is adjacent to boundaries of the image and the rest is not. Then core object regions and core background regions are selected from the inner region and the outer region, respectively. Core object regions are the representative regions for the object and are selected by using the information about the region size and location. Each inner region is classified into foreground or background region by comparing its values of a color histogram intersection of the inner region against the core object region and the core background region. Finally, the extracted core object region is determined as fire flame object in the image. Through experiments, we find that to provide a basic measures can respond effectively and quickly to fire in non-residential facilities.

내부 객체 정보를 이용한 온톨로지 기반의 객체 영상 인식 (Ontology-based Object-Image Recognition by Using Information on Inner-Objects)

  • 이인근;서석태;석지권;권순학
    • 한국지능시스템학회논문지
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    • 제19권6호
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    • pp.760-765
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    • 2009
  • 객체 영상에서 색, 모양과 같은 특징은 객체의 특성을 명확하게 표현하지 못한다. 따라서 제한된 특징 정보는 객체 영상인식의 애매성을 야기한다. 최근에는 객체 인식에서의 애매성을 줄이기 위해 지식베이스에 기반한 영상의 인식에 관한 연구가 진행되고 있다. 그러나 영상은 수치적 정보로 표현되고 지식베이스는 개념적 정보로 표현되어 영상과 지식 베이스의 결합이 쉽지 않다. 본 논문에서는 영상과 지식베이스의 정보 표현의 차이를 줄이기 위해 온톨로지를 이용하여 지식베이스를 구성한다. 그리고 내부 객체 정보를 이용하여 객체 영상 인식 과정에서의 애매성을 줄이는 객체 영상 인식 방법을 제안한다. 또한, 과일 영역에서의 객체 영상 인식 실험을 통해 제안한 방법의 효용성을 확인한다.

현대 시각예술에서 재현의 의미기능 (The Semantic Function of Representation in Contemporary Visual Art)

  • 최광진
    • 조형예술학연구
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    • 제4권
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    • pp.67-90
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    • 2002
  • What is the semantic function of visual image in Contemporary art? This article proposes that representation is semantically still important in post-modernism as well as in modernism. The semantic function of representation has been changed by keeping pace with times. In modernism the 'outer representation' changed to 'inner representation', and in postmodernism the 'inner representation' changed to 'metaphorical representation'. The 'outer representation' means that image indicates a certain object or subject as the classical realism. In this case, the meaning of image is subordinate to an object, and a one-to-one correspond existed between the image and the object. Because this 'outer representation' is focused on an object but subject's intention, the indicative function of meaning is definite and singular. The 'inner representation' means that image exposes the fundamentals or process of an object. In this case, the meaning of image resolves itself into an absolute fundamental, and one-to-many correspond existed between the image and the object. Because this 'inner representation' is focused on essence and substance but an external form, the indicative function of meaning is inclusive and general. The 'metaphorical representation' means that image critically relates social constraint and condition as metaphor and allegory. In this case, the meaning of image is not subordinate to an object and a subject, and the image and the object indicate interactively. Because this 'metaphorical representation' is focused on interaction between subject, object, and interpreter, the indicative function of meaning is differant and ecological. This article focused on the representation because I believe that continuous thinking of totality can be opened by cognitive mapping, even though we never understand the world totally in the chaotic post modern age.

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칼라 영상에서의 중심 객체 추출에 관한 연구 (A Study on Extraction of Central Objects in Color Images)

  • 김성영;박창민;권규복;김민환
    • 한국멀티미디어학회논문지
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    • 제5권6호
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    • pp.616-624
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    • 2002
  • 본 논문에서는 영상에 포함된 중심 객체를 추출하는 방법에 대해 제시한다. 중심 객체는 촬영의 중심이 되어 영상의 중앙 부분에 비교적 큰 면적을 차지하는 객체로 정의하는데 영상 내용에 대한 중요한 정보를 제공한다. 중심 객체 추출을 위해 우선 입력 영상에 대해 해상도를 줄여가며 영상 분할하고 분할된 결과에 대해 계층적 영역 병합을 수행함으로써 객체가 많은 수의 영역으로 세분화되어 영상 분할되는 것을 방지할 수 있도록 하였다. 분할된 각 영역은 영상의 경계와 접하는 경계 영역과 그 외의 비경계 영역으로 분류하였다. 비경계 영역은 중심 객체에 해당될 가능성이 있는 영역으로써, 이들 중에서 영상 중심 부근에서 가장 큰 크기를 차지하는 영역이 핵심객체영역으로 선택된다. 또한 경계 영역 중에서 영상의 네 모서리에 인접하는 영역은 핵심배경영역으로 선택되어 핵심객체영역과 함께 중심 객체 추출에 이용된다. 각 비경계 영역은 핵심 배경영역및 핵심객체영역과 칼라 분포 유사도출 비교하여 배경영역과 전경영역으로 분류된다. 핵심객체영역 및 핵심객체영역과 연결성을 가지는 전경영역이 최종 중심 객체로 선택된다. 본 논문에서 제안된 방법은 비교적 복잡한 배경을 갖는 영상에 대해서도 어느 정도 만족할 만한 결과를 얻을 수 있었다.

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SVM 기반 사물 인식을 위한 고성능 벡터 내적 연산 회로의 MPW 칩 구현 및 검증 (MPW Chip Implementation and Verification of High-performance Vector Inner Product Calculation Circuit for SVM-based Object Recognition)

  • 신재호;김수진;조경순
    • 전자공학회논문지
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    • 제50권11호
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    • pp.124-129
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    • 2013
  • 본 논문은 SVM 알고리즘 기반의 실시간 사물 인식을 위한 고성능 벡터 내적 연산 회로를 제안한다. SVM 알고리즘은 다른 사물 인식 알고리즘에 비해 인식률이 높지만 연산량이 많다. 벡터 내적 연산은 SVM 알고리즘 연산의 주요 연산으로 사용되므로 실시간 사물 인식을 위해서는 고성능 벡터 내적 연산 회로의 구현이 필수적이다. 제안하는 회로는 연산 속도를 높이기 위해 6단 파이프라인 구조를 적용하였으며 SVM 기반 실시간 사물 인식을 가능하게 한다. 제안하는 회로는 Verilog HDL을 사용하여 RTL로 구현하였으며 실리콘 검증을 위해 TSMC 180nm 표준 셀 라이브러리를 이용하여 MPW 칩으로 제작하였다. 테스트 보드와 검증 애플리케이션 소프트웨어를 개발하고 이를 사용하여 MPW 칩의 동작을 확인하였다.

Automatic identification and analysis of multi-object cattle rumination based on computer vision

  • Yueming Wang;Tiantian Chen;Baoshan Li;Qi Li
    • Journal of Animal Science and Technology
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    • 제65권3호
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    • pp.519-534
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    • 2023
  • Rumination in cattle is closely related to their health, which makes the automatic monitoring of rumination an important part of smart pasture operations. However, manual monitoring of cattle rumination is laborious and wearable sensors are often harmful to animals. Thus, we propose a computer vision-based method to automatically identify multi-object cattle rumination, and to calculate the rumination time and number of chews for each cow. The heads of the cattle in the video were initially tracked with a multi-object tracking algorithm, which combined the You Only Look Once (YOLO) algorithm with the kernelized correlation filter (KCF). Images of the head of each cow were saved at a fixed size, and numbered. Then, a rumination recognition algorithm was constructed with parameters obtained using the frame difference method, and rumination time and number of chews were calculated. The rumination recognition algorithm was used to analyze the head image of each cow to automatically detect multi-object cattle rumination. To verify the feasibility of this method, the algorithm was tested on multi-object cattle rumination videos, and the results were compared with the results produced by human observation. The experimental results showed that the average error in rumination time was 5.902% and the average error in the number of chews was 8.126%. The rumination identification and calculation of rumination information only need to be performed by computers automatically with no manual intervention. It could provide a new contactless rumination identification method for multi-cattle, which provided technical support for smart pasture.

Inner disk properties of a Class I young stellar object revealed by IGRINS

  • Lyo, A-Ran;Kim, Jongsoo;Byun, Do-Young;Kang, Jihyun
    • 천문학회보
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    • 제40권2호
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    • pp.35.4-36
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    • 2015
  • Gaseous inner disks are the main controller of the final structure of planetary systems as well as the building place of planets, especially of terrestrial planets. However, the inner disk of <5AU is still difficult to be spatially resolved even at the closest star forming regions. Resolving velocity structure in the disk with high resolution infrared spectroscopic study is the best approach to study the inner disk at this moment. Here, we present the IGRINS (Immersion GRating INfrared Spectrometer) result of the Class I young stellar object, ESO Ha 279a, in the Serpens molecular cloud region. IGRINS has a resolving power of R=40,000, corresponding to the velocity resolution of 7 km/s at K-band, which is perfect to study the hot inner disk structure. We report that NaI and CO overtone emission lines are indeed good tracers of the rotating inner warm disk tracing from ~0.04 to ~7AU of this source. We also report the disk properties using other emission lines.

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대상관계이론에 의한 제임스 터렐의 하늘공간 속 건축적 특성 비교분석연구 (A Comparative and Analytical Study on the Architectural Characteristics of James Turrell's Skyspace based on the Object Relations Theory)

  • 이재인
    • 대한건축학회논문집:계획계
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    • 제35권2호
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    • pp.83-92
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    • 2019
  • This study set out to analyze James Turrell's Skyspace works by applying the object relations theory, compare them with several modern architectural works with a sky window based on the analysis results, and check common and differentiating features between them. The findings were as follows: first, Turrell's Skyspace works shed new light on the images of the sky by projecting inner light to the outside; second, sky windows in architecture make the self-representation of inner space clear through the introjection of light; third, 'Hill of the Buddha' reflects the most general aspect of the object relations theory as the nature of projection found in Turrell's Skyspace is added to it; and finally, Turrell installed event-like spaces and steps in 'Roden Crater' to apply the introjection of others that was deficient in Skyspace.

Adaptive Background Modeling Considering Stationary Object and Object Detection Technique based on Multiple Gaussian Distribution

  • Jeong, Jongmyeon;Choi, Jiyun
    • 한국컴퓨터정보학회논문지
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    • 제23권11호
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    • pp.51-57
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    • 2018
  • In this paper, we studied about the extraction of the parameter and implementation of speechreading system to recognize the Korean 8 vowel. Face features are detected by amplifying, reducing the image value and making a comparison between the image value which is represented for various value in various color space. The eyes position, the nose position, the inner boundary of lip, the outer boundary of upper lip and the outer line of the tooth is found to the feature and using the analysis the area of inner lip, the hight and width of inner lip, the outer line length of the tooth rate about a inner mouth area and the distance between the nose and outer boundary of upper lip are used for the parameter. 2400 data are gathered and analyzed. Based on this analysis, the neural net is constructed and the recognition experiments are performed. In the experiment, 5 normal persons were sampled. The observational error between samples was corrected using normalization method. The experiment show very encouraging result about the usefulness of the parameter.

APR1400 원자로 내부배럴집합체 상부판 구조응답해석 (Structural Response Analysis on Inner Barrel Assembly Top Plate of APR1400 Reactor Vessel)

  • 김규형;고도영;김성환
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2012년도 춘계학술대회 논문집
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    • pp.907-910
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    • 2012
  • Since the inner barrel assembly of the Advanced Power Reactor 1400 reactor vessel is a new design feature introduced instead of CEA(control element assembly) shroud assembly, the inner barrel assembly can be a significant object of structural integrity assessment. This paper covers the structural responses of top plate, which is a component of the inner barrel assembly, against the deterministic hydraulic load induced by pump pulsation and the random hydraulic load induced by turbulence of coolant. The top plate responds to the deterministic hydraulic load more than to the random hydraulic load and shows enough structural integrity. The results of this paper will be important basis for the selection of instruments and measurement location.

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