• Title/Summary/Keyword: template Matching

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A Study on Atmospheric Turbulence-Induced Errors in Vision Sensor based Structural Displacement Measurement (대기외란시 비전센서를 활용한 구조물 동적 변위 측정 성능에 관한 연구)

  • Junho Gong
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.28 no.3
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    • pp.1-9
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    • 2024
  • This study proposes a multi-scale template matching technique with image pyramids (TMI) to measure structural dynamic displacement using a vision sensor under atmospheric turbulence conditions and evaluates its displacement measurement performance. To evaluate displacement measurement performance according to distance, the three-story shear structure was designed, and an FHD camera was prepared to measure structural response. The initial measurement distance was set at 10m, and increased with an increment of 10m up to 40m. The atmospheric disturbance was generated using a heating plate under indoor illuminance condition, and the image was distorted by the optical turbulence. Through preliminary experiments, the feasibility of displacement measurement of the feature point-based displacement measurement method and the proposed method during atmospheric disturbances were compared and verified, and the verification results showed a low measurement error rate of the proposed method. As a result of evaluating displacement measurement performance in an atmospheric disturbance environment, there was no significant difference in displacement measurement performance for TMI using an artificial target depending on the presence or absence of atmospheric disturbance. However, when natural targets were used, RMSE increased significantly at shooting distances of 20 m or more, showing the operating limitations of the proposed technique. This indicates that the resolution of the natural target decreases as the shooting distance increases, and image distortion due to atmospheric disturbance causes errors in template image estimation, resulting in a high displacement measurement error.

Automatic Vowel Sequence Reproduction for a Talking Robot Based on PARCOR Coefficient Template Matching

  • Vo, Nhu Thanh;Sawada, Hideyuki
    • IEIE Transactions on Smart Processing and Computing
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    • v.5 no.3
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    • pp.215-221
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    • 2016
  • This paper describes an automatic vowel sequence reproduction system for a talking robot built to reproduce the human voice based on the working behavior of the human articulatory system. A sound analysis system is developed to record a sentence spoken by a human (mainly vowel sequences in the Japanese language) and to then analyze that sentence to give the correct command packet so the talking robot can repeat it. An algorithm based on a short-time energy method is developed to separate and count sound phonemes. A matching template using partial correlation coefficients (PARCOR) is applied to detect a voice in the talking robot's database similar to the spoken voice. Combining the sound separation and counting the result with the detection of vowels in human speech, the talking robot can reproduce a vowel sequence similar to the one spoken by the human. Two tests to verify the working behavior of the robot are performed. The results of the tests indicate that the robot can repeat a sequence of vowels spoken by a human with an average success rate of more than 60%.

Speed Sign Recognition by Using Hierarchical Application of Color Segmentation and Normalized Template Matching (컬러 세그멘테이션 및 정규화 템플릿 매칭의 계층적 적용에 의한 속도 표지판 인식)

  • Lee, Kang-Ho;Lee, Kyu-Won
    • The KIPS Transactions:PartB
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    • v.16B no.4
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    • pp.257-262
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    • 2009
  • A method of the region extraction and recognition of a speed sign in the real road environment is proposed. The region of speed sign is extracted by using color information and then numbers are segmented in the region. We improve the recognition rate by performing an incline compensation of the speed sign for directions clockwise and counterclockwise. In image sequences of the real road environment, a robust recognition results are achieved with speed signs at normal condition as well as inclined.

A study on the Recognition of Balance Direction in Washing Machine using Machine Vision System (머신 비젼 시스템을 이용한 세탁기 밸런스 방향 인식에 관한 연구)

  • Kim, Tae-Ho;Kim, Jong-Tae;Kim, Gwang-Ho;Park, Jin-Wan;Kim, Jae-Sang;Jeong, Sang-Hwa
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.8 no.2
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    • pp.3-9
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    • 2009
  • When washing machine is rotated in the laundry, it tends to lean toward one side. This tendency causes a serious vibration. The balance of washing machine plays an important role in order to reduce the vibration by injecting the sand or the salt water into the balance of washing machine. The hot plate welder is used to prevent from outflow of contents. The hot plate welder brings about many problems which is concerned with accidents. The direction recognition and location information of the balance are required in this system. In this paper, the recognition direction of balance in washing machine using machine vision system is studied. The template matching algorithm compares sub-image with original image acquired in real-time to obtain a center point of balance image. The mid points and the edges of balance are estimated by the edge detection and gauging algorithms. The data acquired by these results is used for recognition direction of balance. The automation software for image processing is developed by using LabVIEW.

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A Study on Type Classification and Recognition Using Structural Information in Character Pattern of HANGEUL Shape (한글 Shape 문자 Pattern에서의 구조적 정보를 이용한 형식분류와 인식 관한 연구)

  • 전종익;조용주;남궁재찬
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.16 no.2
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    • pp.180-195
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    • 1991
  • In this paper, we studied on new method of recognition using structural information to recognize character pattern in orginal shape of Hangeul. First, for the purpose of knowing location of character in input image. it processed Making block. Second, after we investigated. whether vertical vowel exited or not in character image accordingly the center of gravity of Hangeul. each character was classified into Type of Hangeul by searching location and length for horizontal vowel and short pole. Last, we processed it by means of template matching which calculate Uclid's distance on each Jaso in accordance to type classified. This paper made an experiment on 2350 characters and obtained 98.3% classifing rate and 95.2% recognizing rate.

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Inspection of Vehicle Headlight Defects (차량 헤드라이트 불량검사 방법)

  • Kim, Kun Hong;Moon, Chang Bae;Kim, Byeong Man;Oh, Duk Hwan
    • Journal of Korea Society of Industrial Information Systems
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    • v.23 no.1
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    • pp.87-96
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    • 2018
  • In this paper, we propose a method to determine whether there is a defect by using the similarity between ROIs (Region of Interest) of the standard image and ROIs of the image which is corrected in position and rotation after capturing the vehicle headlight. The degree of similarity is determined by the template matching based on the histogram of image, which is a some modification of the method provided by OpenCV where template matching is performed on the raw image not the histogram. The proposed method is compared with the basic method of OpenCV for performance analysis. As a result of the analysis, it was found that the proposed method showed better performance than the OpenCV method, showing the accuracy close to 100%.

Eyebrow Detection Algorithm Using the Histogram Analysis (히스토그램 분석을 이용한 눈썹 검출 알고리즘)

  • 이강호
    • Journal of the Korea Society of Computer and Information
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    • v.7 no.4
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    • pp.46-51
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    • 2002
  • In this paper, I proposed a eyebrow detection algorithm in human face, that is important element in facial recognition. The proposed algorithm consists of four processes: face region detection using color region segmentation. eye detection by template matching, eyebrow candidate region detection in detected eye region, and eyebrow detection by thresholding using the modified histogram that gets luminance value in the candidate region. The test results show that the proposed algorithm can detect eyebrow region very effectively in facial image.

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Multi-Object Tracking Algorithm for Vehicle Detection (차량 검출을 위한 다중객체추적 알고리즘)

  • Lee, Geun-Hoo;Kim, Gyu-Yeong;Park, Hong-Min;Park, Jang-Sik;Kim, Hyun-Tae;Yu, Yun-Sik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.05a
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    • pp.816-819
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    • 2011
  • The image recognition system using CCTV camera has been introduced to minimize not only loss of life and property but also traffic jam in the tunnel. In this paper, multi-object detection algorithm is proposed to track multi vehicles. The proposed algorithm is to detect multi cars based on Adaboost and to track multi vehicles to use template matching. As results of simulations, it is shown that proposed algorithm is useful for tracking multi vehicles.

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The effect of immediate and delayed recognition on Event-Related Potentials in a continuous recognition memory task (연속재인과제에서 즉각적 재인과 지연 재인이 사건관련전위에 미치는 영향)

  • 김명선;조상수;권준수
    • Proceedings of the Korean Society for Cognitive Science Conference
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    • 2000.05a
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    • pp.55-60
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    • 2000
  • 연속재인과제에서 자극을 즉각적으로 반복 제시하거나 지연 반복 제시할 경우 사건관련전위에 차이가 나타나는지, 만약 차이가 관찰되면 자극 제시 후 어느 시점에서 차이가 두드러지게 나타나는지를 조사하였다. 실험 결과 즉각적 재인이 지연 재인에 비해 더 높은 반응정확율과 더 빠른 반응시간을 보였고 사건관련전위에서는 P300의 진폭이 더 컸고 잠재시간도 더 빨랐다. 그리고 지연재인에서 관찰되는 N400이 즉각적 재인에서는 나타나지 않았다. 지연재인에 비해 즉각적 재인에서 P300의 진폭이 더 크고 잠재시간이 더 빠르게 나타난 것은 P300이 template matching을 통한 정보처리 과정을 반영해 준다는 주장을 지지해 준다. 즉 즉각적 재인에서는 지연 재인에 비해 template matching이 훨씬 더 정확하고 빨리 일어나며 이 결과 P300의 진폭이 커지고 잠재시간이 더 빨라진 것으로 이해된다. 즉각적 재인에서는 방금 제시된 자극(시간 간격은 2초)을 재인하기 때문에 기억의 탐색 과정이 요구되지 않는 반면 5개의 간섭 단어 후에 반복 제시되는 단어를 재인하는 지연 재인에서는 단어에 대한 탐색 과정이 필요하며, 이에 따라 N400이 초래된 것으로 여겨진다. 이 결과는 N400이 기억 탐색 과정을 반영한다는 주장을 지지해 준다. 사건관련 전위에서 즉각적 재인과 지연 재인의 차이는 자극 제시 300ms에서 450ms사이에 가장 두드러지게 나타났다.

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Automated Visual Inspection System of Junction Box using Color Inspection and Template Matching (색상 검사와 템플릿 매칭을 이용한 정션 박스 자동 시각 검사 시스템)

  • Park, Byung-Joon;Hahn, Kwang-Soo;Lee, Ho-Jun
    • Journal of Korea Multimedia Society
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    • v.13 no.3
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    • pp.392-399
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    • 2010
  • The Automobile has developed and changed through the years from the invention and increased human-being's scope of activity. Junction Box, one of the part of automobile, is inspected by human eyes which caused mistakes and slow progress. To achieve the speed and accuracy the system was compensated by vision system which is inspecting automatically. This paper is automatic inspection of fuse and relay which is inserted in the junction box by checking the color and pattern of the cover. After checking the performance of the system by using the junction box, the result was 100 percent perception and open the possibility to inspect junction box fast and easy and accurate if it is applied to the industry.