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Video Road Vehicle Detection and Tracking based on OpenCV

  • Hou, Wei;Wu, Zhenzhen;Jung, Hoekyung
    • Journal of information and communication convergence engineering
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    • v.20 no.3
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    • pp.226-233
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    • 2022
  • Video surveillance is widely used in security surveillance, military navigation, intelligent transportation, etc. Its main research fields are pattern recognition, computer vision and artificial intelligence. This article uses OpenCV to detect and track vehicles, and monitors by establishing an adaptive model on a stationary background. Compared with traditional vehicle detection, it not only has the advantages of low price, convenient installation and maintenance, and wide monitoring range, but also can be used on the road. The intelligent analysis and processing of the scene image using CAMSHIFT tracking algorithm can collect all kinds of traffic flow parameters (including the number of vehicles in a period of time) and the specific position of vehicles at the same time, so as to solve the vehicle offset. It is reliable in operation and has high practical value.

Fine Needle Aspiration Cytology of Carcinoma ex Pleomorphic Adenoma of Salivary Gland - Report of five cases - (타액선의 다형성 선종에서 발견한 암종의 세침흡인 세포학적 소견 -5 예 보고-)

  • Choi, Hyun-Joo;Kim, Hwal-Woong;Ham, Eui-Keun;Park, In-Ae
    • The Korean Journal of Cytopathology
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    • v.12 no.2
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    • pp.97-103
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    • 2001
  • Carcinoma ex pleomorphic adenoma(CXPA) is a rare malignant tumor of the salivary gland, fine needle aspiration cytology(FNAC) of which are rarely reported. We retrospectively reviewed FNAC of five cases of histologically proven CXPA of the salivary glands diagnosed in Seoul National University Hospital to evaluate their cytologic characteristics. Histologically, the carcinoma components were low-grade in three cases and high-grade in two cases. The cytologic diagnosis were malignancy in two cases(40%), suspicious for malignancy in one(20%), and benign(pleomorphic adenoma) in two(40%). All of the high-grade carcinomas were correctly diagnosed by FNAC, however, 2 cases of low-grade carcinomas were diagnosed as benign by FNAC. The low sensitivity in cytologic diagnosis is due to interpretative difficulties in low-grade tumors. The characteristic cytologic features of CXPA were high cellularity, necrotic, bloody, and inflammatory background, marked nuclear overlapping, coarsely granular chromatin, prominent macronucleoli, and atypical mitosis in epithelial component in addition to the typical biphasic pattern of pleomorphic adenoma consisting of epithelial cells admired with spindle-shaped cells and chondromyxoid stroma. Even though low-grade tumors show mild pleomorphism, the cytologic findings of necrotic background, moderate to high cellularity, and nuclear overlapping could lead to an accurate cytodiagnosis of CXPA.

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The Effect of Background Grey Levels on the Visual Perception of Displayed Image on CRT Monitor (CRT 모니터의 배경(背景) 계조도(階調度)가 영상의 시각인식(視覺認識)에 미치는 영향)

  • Kim, Jong-Hyo;Park, Kwang-Suk;Min, Byoung-Goo;Lee, Choong-Woong
    • Proceedings of the KOSOMBE Conference
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    • v.1991 no.05
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    • pp.18-21
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    • 1991
  • In this paper, the effect of background grey levels on the visual perception of target image displayed on CRT monitor has been investigated. The purpose of this study is to investigate the efficacy of CRT monitor as a display medium of image information especially in medical imaging field. Three sets of experiments have been performed in this study; the first was to measure the luminance response of CRT monitor and to find the best fitting equation, and the second was the psychophysical experiment measuring the threshold grey level difference between the target image and the background required for visual discrimination for various background grey levels, and the third was to develop a visual model that is predictable of the threshold grey level difference measured in the psychophysical experiment. The result of psycophysical experiment shows that the visual perception performance is significantly degraded in the range of grey levels lower than 50, which is turned out due to the low luminance change of CRT monitor in this range while human eye has been adapted to relatively bright ambient illumination.

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The evaluation of background sound satisfaction when interior sound source and landscape are provided in various types of space (공간 유형별 실내조경에서의 배경음 만족도 연구)

  • Kim, Ho-Gon;Kook, Chan;Baek, Geon-Jong
    • KIEAE Journal
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    • v.12 no.4
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    • pp.83-88
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    • 2012
  • As for the generally preferred sound sources used in the test, the sound of water and the birds chirping were highly valued. And they have found that preference of the subject is increased if background music which mixed well with the sound sources were provided together. On the other hand, the sound sources of low satisfaction were judged at be church bells, bell of Emile, and fulling cloth, which not mix well with interior landscaping. If the physical elements of interior landscaping were equally composed, it has found that the larger were a of water space is, the higher satisfaction more than other sound sources. Average satisfaction of background sound in interior landscaping classified according to the characteristics of space has found that satisfaction of the birds chirping and music in working space and satisfaction of water sound and music in commercial space were high. Women judged that satisfaction of the birds chirping and music in working space and satisfaction of water sound and music in commercial space whose values were the same with the average ones were high, while men judged that satisfaction of the song of birds and music in working and commercial space is high.

The Effect of Background Grey Levels on the Visual Perception of Displayed Image on CRT Monitor (CRT 모니터의 배경계조도가 영상의 시각인식에 미치는 영향)

  • 김종효;박광석
    • Journal of Biomedical Engineering Research
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    • v.14 no.1
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    • pp.63-72
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    • 1993
  • In this paper, the effect of background grey levels on the visual perception of target image displayed on CRT monitor has been investigated. The purpose of this study is to investigate the efficacy of CRT monitor as a display medium of image Information especially in medical imaging field. Tllree sets of experiments have been performed in this study : the first was to measure the luminance response of CRT monitor and to find the best fitting equation, and the second was the psychophysical experiment measuring the threshold grey level differences between the target image and the background required for visual discrimination (or various background grey levels, and the third was to develop a visual model that is predictable of the threshold grey level difference measured in the psychophysical experiment. The result of psycophysical experiment shows that the visual perception performance is significantly degraded in the range of grey levels lower than 50, which is turned out due to she low luminance change of CRT monitor in this range while human eye has been adapted lo relatively bright ambient illumination. And it Is also shown in the simulation study using the developed visual model that the dominant factor degrading the visual performance is the reflected light from the monitor surface by ambient light in general illumination condition.

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Real time Omni-directional Object Detection Using Background Subtraction of Fisheye Image (어안 이미지의 배경 제거 기법을 이용한 실시간 전방향 장애물 감지)

  • Choi, Yun-Won;Kwon, Kee-Koo;Kim, Jong-Hyo;Na, Kyung-Jin;Lee, Suk-Gyu
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.8
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    • pp.766-772
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    • 2015
  • This paper proposes an object detection method based on motion estimation using background subtraction in the fisheye images obtained through omni-directional camera mounted on the vehicle. Recently, most of the vehicles installed with rear camera as a standard option, as well as various camera systems for safety. However, differently from the conventional object detection using the image obtained from the camera, the embedded system installed in the vehicle is difficult to apply a complicated algorithm because of its inherent low processing performance. In general, the embedded system needs system-dependent algorithm because it has lower processing performance than the computer. In this paper, the location of object is estimated from the information of object's motion obtained by applying a background subtraction method which compares the previous frames with the current ones. The real-time detection performance of the proposed method for object detection is verified experimentally on embedded board by comparing the proposed algorithm with the object detection based on LKOF (Lucas-Kanade optical flow).

Research on Segmentation for Sidescan Sonar Image by Morphological Method (사이드스캔소나 이미지의 모폴로지 기법을 이용한 세그먼테이션에 관한 연구)

  • Lee, Ji-Eun;Shim, Tae-Bo
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.49 no.2
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    • pp.143-148
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    • 2012
  • There are many researches on segmentation of sidescan sonar image to recognize or classify the underwater objects. Although existing algorithms's performance is good in detecting object's shadow and reducing the underwater noise, the computing time is very low. In this paper we try to separate shadow from background and segment the underwater image by using morphological method using background's noise distribution characteristics and object's shadow charateristics. This algorithm is useful when the average of background is lower than the average of the shadow, because this is adjusted from the background's chracteristics. Results shows that the algorithm works fine in multiple object environments and the computing time is reduced to 1 second.

CALIBRATION PROCESS OF THE COSMIC INFRARED BACKGROUND EXPERIMENT (적외선 우주배경복사 관측 실험 검교정)

  • Lee, D.H.;Nam, U.W.;Kim, G.H.;Pak, S.;Zemcov, M.;Bock, J.J.;Battle, J.;Sullivan, I.;Mason, P.;Tsumura, K.;Matsumoto, T.;Matsuura, S.;Renbarger, T.;Keating, B.
    • Publications of The Korean Astronomical Society
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    • v.22 no.4
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    • pp.169-175
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    • 2007
  • The international cooperation project CIBER (Cosmic Infrared Background ExpeRiment) is a rocket-borne instrument, of which the scientific goal is to measure the cosmic near-infrared extra-galactic background to search for signatures of primordial galaxy formation. CIBER consists of a wide-field two-color camera, a low-resolution absolute spectrometer, and a high-resolution narrow-band imaging spectrometer. Currently, all the subsystems have been built, and the integration, testing, and calibration of the CIBER system are on process for the scheduled launch in June 2008.

INTERNATIONAL COOPERATION OF THE COSMIC INFRARED BACKGROUND EXPERIMENT (적외선 우주배경복사 관측 실험 국제 공동 연구)

  • Lee, D.H.;Nam, U.W.;Lee, S.;Jin, H.;Yuk, I.S.;Kim, K.H.;Pak, S.
    • Publications of The Korean Astronomical Society
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    • v.21 no.2
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    • pp.21-26
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    • 2006
  • A Korean team (Korea Astronomy and Space Science Institute, Korea Basic Science Institute, and Kyung Hee University) takes part in an international cooperation project called CIBER (Cosmic Infrared Background ExpeRiment), which has begun with Jet Propulsion Laboratory (JPL) in USA and Institute of Space and Astronautical Science (ISAS) in Japan. CIBER is a rocket-borne instrument, of which the scientific goal is to measure the cosmic near-infrared extra-galactic background to search for signatures of primordial galaxy formation. CIBER consists of a wide-field two-color camera, a low-resolution absolute spectrometer, and a high-resolution narrow-band imaging spectrometer. The Korean team is in charge of the ground support electronics and manufacturing of optical parts of the narrow-band spectrometer, which will provide excellent opportunities for science and technology to Korean infrared groups.

Tonal Extraction Method for Underwater Acoustic Signal Using a Double-Feedback Neural Network (이중 회귀 신경 회로망을 이용한 수중 음향 신호의 토널 추출 기법)

  • Lim, Tae-Gyun;Lee, Sang-Hak
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.5
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    • pp.915-920
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    • 2007
  • Using the existing algorithms that estimate the background noise, the detection probability for the week tonals is low and for the even week tonals, there is a limit not detected. Therefore it is required to algorithms which can improve the performance of the tonal extraction. Recently, many researches using artificial neural networks in sonar signal processing are performed. We propose a neural network with double feedback that can remove automatically the background noise and detect the even week tonals buried in background noise, therefore not detected by growing the week tonals lastingly for a certain time. For the real underwater target, experiments for the tonal extraction are performed by using the existing algorithms that estimate the background noise and the proposed neural network. As a result of the experiment, a method using the proposed neural network showed the better performance of the tonal extraction in comparison with the existing algorithms.