• Title/Summary/Keyword: Vision area

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Real-time monitoring system with Kinect v2 using notifications on mobile devices (Kinect V2를 이용한 모바일 장치 실시간 알림 모니터링 시스템)

  • Eric, Niyonsaba;Jang, Jong Wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.277-280
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    • 2016
  • Real-time remote monitoring system has an important value in many surveillance situations. It allows someone to be informed of what is happening in his monitoring locations. Kinect v2 is a new kind of camera which gives computers eyes and can generate different data such as color and depth images, audio input and skeletal data. In this paper, using Kinect v2 sensor with its depth image, we present a monitoring system in a space covered by Kinect. Therefore, based on space covered by Kinect camera, we define a target area to monitor using depth range by setting minimum and maximum distances. With computer vision library (Emgu CV), if there is an object tracked in the target space, kinect camera captures the whole image color and sends it in database and user gets at the same time a notification on his mobile device wherever he is with internet access.

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Real-time pupil motion recognition and efficient character selection system using FPGA and OpenCV (FPGA와 OpenCV를 이용한 실시간 눈동자 모션인식과 효율적인 문자 선택 시스템)

  • Lee, Hee Bin;Heo, Seung Won;Lee, Seung Jun;Yu, Yun Seop
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.393-394
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    • 2018
  • In this paper, the new system which improve the previously reported "Implementation to human-computer interface system with motion tracking using OpenCV and FPGA" is introduced and in this system, a character selection system for the physically uncomfortable patients is proposed. Using OpenCV, the eye area is detected, the pupil position is determined, and then the results are sent to the FPGA, and the character is selected finally. The method to minimize the pupil movement of the patient is used to output the character according to the user's intention. Using OpenCV, various computer vision algorithms can be easily applied, and using programmable FPGA, a pupil motion recognition and character selection system are implemented with a low cost.

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An Efficient Super Resolution Method for Time-Series Remotely Sensed Image (시계열 위성영상을 위한 효과적인 Super Resolution 기법)

  • Jung, Seung-Kyoon;Choi, Yun-Soo;Jung, Hyung-Sup
    • Spatial Information Research
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    • v.19 no.1
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    • pp.29-40
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    • 2011
  • GOCI the world first Ocean Color Imager in Geostationary Orbit, which could obtain total 8 images of the same region a day, however, its spatial resolution(500m) is not enough to use for the accurate land application, Super Resolution(SR), reconstructing the high resolution(HR) image from multiple low resolution(LR) images introduced by computer vision field. could be applied to the time-series remotely sensed images such as GOCI data, and the higher resolution image could be reconstructed from multiple images by the SR, and also the cloud masked area of images could be recovered. As the precedent study for developing the efficient SR method for GOCI images, on this research, it reproduced the simulated data under the acquisition process of the remote sensed data, and then the simulated images arc applied to the proposed algorithm. From the proposed algorithm result of the simulated data, it turned out that low resolution(LR) images could be registered in sub-pixel accuracy, and the reconstructed HR image including RMSE, PSNR, SSIM Index value compared with original HR image were 0.5763, 52.9183 db, 0.9486, could be obtained.

A Study on Farmer's Requisition on Welfare Policy (농업인 복지정책 요구도 분석)

  • Ryoo Hak Soo;Cho Young Sook
    • The Korean Journal of Community Living Science
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    • v.16 no.2
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    • pp.51-59
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    • 2005
  • The purpose of the present study is to seek measures to increase the quality of farmers lives by considering the results of a survey on the welfare demand for them when setting up policy. The results are as follows: First, though many concerns and policies to control the rural exodus have been exerted in terms of maintaining agricultural communities, which is one of critical components for the development of Korean agriculture and farming villages, the rural exodus became more and more serious. It is urgently required, therefore, for the Korean administration to correspond actively to the reasons why farmers depart their villages, such as bad prospects, low incomes or problems with their children's education. Second, as the number of females who take part in farming has increased, it is necessary to reform the rural educational environment. In addition, as the agricultural community develops, and other industries flow in, the greater the worries about crime, and consequently, it is necessary to equip a local safety system, share information on job opportunities, and provide educational opportunities. Third, since rural districts nay have financial difficulties because of old-aged and small-sized farmhouse, it is necessary to mainly support the welfare of the aged and lower-income farmers, considering the characteristics of each group and area. Fourth, over half of the farmers responded that they cannot bear to pay the national pension and health insurance premiums, and therefore it should be considered to reduce the pension and premium, or to readjust the insurance value appropriate to the level of the farmer's income. Fifth, despite a number of agricultural policies now in place, farmers desire a policy which can promise a prosperous vision for Korean agriculture and the facilities needed for education and health. It is necessary for the administration to set up policies that are characterized by locality with the view that farmers are not mere recipients, but participants in the policies.

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TWO CASES OF MASSIVE CRANIOFACIAL FIBROUS DYSPLASIA (광범위한 두개안면부 섬유성골이형성증의 치험 2례)

  • Kim, Jong-Ryoul;Chung, Gi-Deon;Kim, Hong-Sik;Kim, Ki-Won
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.18 no.1
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    • pp.61-68
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    • 1996
  • In Fibrous dysplasia(FD) of the jaws, the majority of cases can await the cessation of growth before surgical intervention, and it seems prudent to delay surgery whenever possible until growth has ceased. In craniofacial FD, however, the dangers of dystopia, dystopia and loss of vision may require early surgery to prevent or control cranio-orbital complications. Delaying surgery in those circumstances may be significantly detrimental to such patients. Conservative surgical management of FD is widely practised and we advocate an extension to this conservative treatment by combining surgical recontouring with appropriate osteotomies if indicated, to achieve an optimal esthetic and functional results in craniofacial FD. One case will be presented to illustrate the feasiblility of such combined treatment, to report the uneventful healing of osteotomies in the FD of the jaws, and to demonstrate the use of titanium miniplate fixation in dysplastic bone. The other case had expansile disease of the left facial and fronto-temporal bones and osteolytic change left mandible. This patient complained of severe spontaneous bleeding of left mandibular premolar area and it was suspected as central hemangioma of the left mandible and craniofacial FD. Angiogram disclosed generalized dilation of the external carotid artery and its branches, especially terminal branches of the left facial and inferior alveolar arteries. But no specific abnormalities, such as A-V shunt, venous lake, or early venous drainage, was seen. So it was diagnosed craniofacial FD with hypercellularity and generalized bony recontouring was performed via coronal and transoral approaches.

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Development of a real-time crop recognition system using a stereo camera

  • Baek, Seung-Min;Kim, Wan-Soo;Kim, Yong-Joo;Chung, Sun-Ok;Nam, Kyu-Chul;Lee, Dae Hyun
    • Korean Journal of Agricultural Science
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    • v.47 no.2
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    • pp.315-326
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    • 2020
  • In this study, a real-time crop recognition system was developed for an unmanned farm machine for upland farming. The crop recognition system was developed based on a stereo camera, and an image processing framework was proposed that consists of disparity matching, localization of crop area, and estimation of crop height with coordinate transformations. The performance was evaluated by attaching the crop recognition system to a tractor for five representative crops (cabbage, potato, sesame, radish, and soybean). The test condition was set at 3 levels of distances to the crop (100, 150, and 200 cm) and 5 levels of camera height (42, 44, 46, 48, and 50 cm). The mean relative error (MRE) was used to compare the height between the measured and estimated results. As a result, the MRE of Chinese cabbage was the lowest at 1.70%, and the MRE of soybean was the highest at 4.97%. It is considered that the MRE of the crop which has more similar distribution lower. the results showed that all crop height was estimated with less than 5% MRE. The developed crop recognition system can be applied to various agricultural machinery which enhances the accuracy of crop detection and its performance in various illumination conditions.

Fast Mask Operators for the edge Detection in Vision System (시각시스템의 Edge 검출용 고속 마스크 Operator)

  • 최태영
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.11 no.4
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    • pp.280-286
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    • 1986
  • A newmethod of fast mask operators for edge detection is proposed, which is based on the matrix factorization. The output of each component in the multi-directional mask operator is obtained adding every image pixels in the mask area weighting by corresponding mask element. Therefore, it is same as the result of matrix-vector multiplication like one dimensional transform, i, e, , trasnform of an image vector surrounded by mask with a transform matrix consisted of all the elements of eack mask row by row. In this paper, for the Sobel and Prewitt operators, we find the transform matrices, add up the number of operations factoring these matrices and compare the performances of the proposed method and the standard method. As a result, the number of operations with the proposed method, for Sobel and prewitt operators, without any extra storage element, are reduced by 42.85% and 50% of the standard operations, respectively and in case of an image having 100x100 pixels, the proposed Sobel operator with 301 extra storage locations can be computed by 35.93% of the standard method.

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Algorithm for Detecting PSD Boundary Invasion in Subway PSD using Image Processing (영상처리를 이용한 지하철 스크린 도어의 경계선 침범인식 알고리듬 연구)

  • Baek, Woon-Seok;Lee, Ha-Woon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.5
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    • pp.1051-1058
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    • 2018
  • This paper propose image processing algorithm to prevent safety accidents near by subway platform screen door(PSD). First, edges of the subway PSD images are detected and the boundary line between PSD and subway platform is detected to decide people's approach to the PSD using Hough transform. To do this, we draw the boundary line between the PSD and platform, to detect the boundary line and to decide the people's approach to the detected line is completely connected or not. Generally, edge is the basic characteristic of image; thus, edge detection is very important in image processing applications and computer vision area. The conventional edge detection methods such as Roberts, Sobel, Prewitt, and Laplacian etc, which are using a fixed value of mask, and morphological gradient from the structuring element of view and Canny edge detector are widely used. In this paper, we propose the detection algorithm about the people's approach to the subway PSD to prevent the safety accidents by using Canny edge detector and Hough transform and the computer simulation shows the results.

Trends and Issues in Research on Noticing in Mathematics Education (수학 교육에서 노티싱(Noticing) 연구의 동향과 과제)

  • Pang, JeongSuk;Kwon, MinSung;SunWoo, Jin
    • School Mathematics
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    • v.19 no.4
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    • pp.795-817
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    • 2017
  • Whereas noticing with relation to teacher expertise has been steadily studied in international contexts, there have been very few studies in Korea in this area. Given this, this paper reviewed the meanings of noticing based on Sherin and van Es as well as Jacobs et al. who provided foundational work and then analyzed recent studies on teacher noticing. A review of literature showed that recent international studies on noticing tend to elaborate the theoretical framework of noticing, diversify the methods of research on noticing, and extend to the range of noticing. This paper also included an analysis of domestic studies dealing with noticing either explicitly or implicitly. This paper is expected to serve as a basis to foster conceptual understanding of teacher noticing and to derive follow-up studies in Korea.

Development of Computer Vision System for Individual Recognition and Feature Information of Cow (I) - Individual recognition using the speckle pattern of cow - (젖소의 개체인식 및 형상 정보화를 위한 컴퓨터 시각 시스템 개발 (I) - 반문에 의한 개체인식 -)

  • 이종환
    • Journal of Biosystems Engineering
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    • v.27 no.2
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    • pp.151-160
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    • 2002
  • Cow image processing technique would be useful not only for recognizing an individual but also for establishing the image database and analyzing the shape of cows. A cow (Holstein) has usually the unique speckle pattern. In this study, the individual recognition of cow was carried out using the speckle pattern and the content-based image retrieval technique. Sixty cow images of 16 heads were captured under outdoor illumination, which were complicated images due to shadow, obstacles and walking posture of cow. Sixteen images were selected as the reference image for each cow and 44 query images were used for evaluating the efficiency of individual recognition by matching to each reference image. Run-lengths and positions of runs across speckle area were calculated from 40 horizontal line profiles for ROI (region of interest) in a cow body image after 3 passes of 5$\times$5 median filtering. A similarity measure for recognizing cow individuals was calculated using Euclidean distance of normalized G-frame histogram (GH). normalized speckle run-length (BRL), normalized x and y positions (BRX, BRY) of speckle runs. This study evaluated the efficiency of individual recognition of cow using Recall(Success rate) and AVRR(Average rank of relevant images). Success rate of individual recognition was 100% when GH, BRL, BRX and BRY were used as image query indices. It was concluded that the histogram as global property and the information of speckle runs as local properties were good image features for individual recognition and the developed system of individual recognition was reliable.