• Title/Summary/Keyword: IR 카메라

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Depth Upsampling Method Using Total Generalized Variation (일반적 총변이를 이용한 깊이맵 업샘플링 방법)

  • Hong, Su-Min;Ho, Yo-Sung
    • Journal of Broadcast Engineering
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    • v.21 no.6
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    • pp.957-964
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    • 2016
  • Acquisition of reliable depth maps is a critical requirement in many applications such as 3D videos and free-viewpoint TV. Depth information can be obtained from the object directly using physical sensors, such as infrared ray (IR) sensors. Recently, Time-of-Flight (ToF) range camera including KINECT depth camera became popular alternatives for dense depth sensing. Although ToF cameras can capture depth information for object in real time, but are noisy and subject to low resolutions. Recently, filter-based depth up-sampling algorithms such as joint bilateral upsampling (JBU) and noise-aware filter for depth up-sampling (NAFDU) have been proposed to get high quality depth information. However, these methods often lead to texture copying in the upsampled depth map. To overcome this limitation, we formulate a convex optimization problem using higher order regularization for depth map upsampling. We decrease the texture copying problem of the upsampled depth map by using edge weighting term that chosen by the edge information. Experimental results have shown that our scheme produced more reliable depth maps compared with previous methods.

Automatic Extraction of Opinion Words from Korean Product Reviews Using the k-Structure (k-Structure를 이용한 한국어 상품평 단어 자동 추출 방법)

  • Kang, Han-Hoon;Yoo, Seong-Joon;Han, Dong-Il
    • Journal of KIISE:Software and Applications
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    • v.37 no.6
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    • pp.470-479
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    • 2010
  • In relation to the extraction of opinion words, it may be difficult to directly apply most of the methods suggested in existing English studies to the Korean language. Additionally, the manual method suggested by studies in Korea poses a problem with the extraction of opinion words in that it takes a long time. In addition, English thesaurus-based extraction of Korean opinion words leaves a challenge to reconsider the deterioration of precision attributed to the one to one mismatching between Korean and English words. Studies based on Korean phrase analyzers may potentially fail due to the fact that they select opinion words with a low level of frequency. Therefore, this study will suggest the k-Structure (k=5 or 8) method, which may possibly improve the precision while mutually complementing existing studies in Korea, in automatically extracting opinion words from a simple sentence in a given Korean product review. A simple sentence is defined to be composed of at least 3 words, i.e., a sentence including an opinion word in ${\pm}2$ distance from the attribute name (e.g., the 'battery' of a camera) of a evaluated product (e.g., a 'camera'). In the performance experiment, the precision of those opinion words for 8 previously given attribute names were automatically extracted and estimated for 1,868 product reviews collected from major domestic shopping malls, by using k-Structure. The results showed that k=5 led to a recall of 79.0% and a precision of 87.0%; while k=8 led to a recall of 92.35% and a precision of 89.3%. Also, a test was conducted using PMI-IR (Pointwise Mutual Information - Information Retrieval) out of those methods suggested in English studies, which resulted in a recall of 55% and a precision of 57%.

An Implementation of Gaze Recognition System Based on SVM (SVM 기반의 시선 인식 시스템의 구현)

  • Lee, Kue-Bum;Kim, Dong-Ju;Hong, Kwang-Seok
    • The KIPS Transactions:PartB
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    • v.17B no.1
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    • pp.1-8
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    • 2010
  • The researches about gaze recognition which current user gazes and finds the location have increasingly developed to have many application. The gaze recognition of existence all about researches have got problems because of using equipment that Infrared(IR) LED, IR camera and head-mounted of high price. This study propose and implement the gaze recognition system based on SVM using a single PC Web camera. The proposed system that divide the gaze location of 36 per 9 and 4 to recognize gaze location of 4 direction and 9 direction recognize user's gaze. Also, the proposed system had apply on image filtering method using difference image entropy to improve performance of gaze recognition. The propose system was implements experiments on the comparison of proposed difference image entropy gaze recognition system, gaze recognition system using eye corner and eye's center and gaze recognition system based on PCA to evaluate performance of proposed system. The experimental results, recognition rate of 4 direction was 94.42% and 9 direction was 81.33% for the gaze recognition system based on proposed SVM. 4 direction was 95.37% and 9 direction was 82.25%, when image filtering method using difference image entropy implemented. The experimental results proved the high performance better than existed gaze recognition system.

Implementation of Conversion Solution for Interoperability of Applications Developed on Different Mobile Platforms (이기종 모바일 플랫폼 간 어플리케이션의 상호 호환을 위한 변환 솔루션 구현)

  • Kang, Kyung-Bo;Kang, Dong-Hyun;Ryu, Jong-Min;Hong, Chang-Pyo;Lee, Joong-Hoon;Yoon, Jung-Han;Jwa, Jeong-Woo
    • Proceedings of the Korea Contents Association Conference
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    • 2006.11a
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    • pp.65-69
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    • 2006
  • Cellular network evolution and development of multi-function cellular phones introduce new mobile business mode. Cellular operators provide mobile internet services using the mobile browser such as ME and WAP and the mobile multimedia platform such as WIPI, J2ME, and BREW. New mobile applications are developed using mobile platforms provided by cellular operators as cellular phones having multimedia solutions such as camera, MP3, MPEG, 3D game engine, DMB, PAN such as bluetooth, IrDA, W-LAN, and location information using GPS are developed. Content providers have problems of redevelopment of a mobile application for different mobile platforms. In this paper, we propose a conversion solution for interoperability of applications developed on different mobile platforms of WIPI and BREW. We analyze APIs of WIPI and BREW and develop conversion solutions.

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Performance Comparison and Test of Fixed FOD Automatic Detection System and Moving FOD Automatic Detection System (고정형 이물질(FOD) 자동 탐지 시스템과 이동형 이물질 자동 탐지 시스템의 성능 비교 및 시험)

  • Kim, Sung-Hee;Hong, Jae-Beom;Park, Kwang-Gun;Choi, In-Kyu;Hong, Gyo-Young
    • Journal of Advanced Navigation Technology
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    • v.23 no.6
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    • pp.495-500
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    • 2019
  • Foreign object debris (FOD) is a generic term for various metals and non-metal foreign object and materials with potential hazards to aircraft operations. Since the method of manual FOD detection and collection in the aircraft moving area is very low in efficiency and economic efficiency, it is essential to develop to FOD automatic detection system suitable for domestic environment. This paper is the result of the performance comparison test results of the two systems for the combined operation of each optimal detection time and 95% accuracy above 100 m for complex operation using the fixed FOD automatic detection system and the mobile FOD system using EO/IR camera and radar at Taean Airfield Hanseo University. It is expected that FOD can be performed unattended through continuous R & D.

Real-Time Eye Detection and Tracking Under Various Light Conditions (다양한 조명하에서 실시간 눈 검출 및 추적)

  • 박호식;박동희;남기환;한준희;나상동;배철수
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2003.10a
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    • pp.227-232
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    • 2003
  • Non-intrusive methods based on active remote IR illumination for eye tracking is important for many applications of vision-based man-machine interaction. One problem that has plagued those methods is their sensitivity to lighting condition change. This tends to significantly limit their scope of application. In this paper, we present a new real-time eye detection and tracking methodology that works under variable and realistic lighting conditions. eased on combining the bright-pupil effect resulted from IR light and the conventional appearance-based object recognition technique, our method can robustly track eyes when the pupils are not very bright due to significant external illumination interferences. The appearance model is incorporated in both eyes detection and tracking via the use of support vector machine and the mean shift tracking. Additional improvement is achieved from modifying the image acquisition apparatus including the illuminator and the camera.

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Application Defects Detection in the Small-Bore Pipe Using Infrared Thermography Technique (적외선열화상 카메라를 이용한 원전 소구경 감육배관의 결함 검출)

  • Yun, Kyung-Won;Kim, Dong-Lyul;Jung, Hyun-Chul;Hong, Dong-Pyo;Kim, Kyeong-Suk
    • Journal of the Korean Society for Nondestructive Testing
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    • v.33 no.1
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    • pp.34-39
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    • 2013
  • In the advanced research deducted infrared thermography (IRT) test using 4 inch pipe with artificial wall-thinning defect to measure on the wall-thinned nuclear pipe components. This study conducted for defect detection condition of nuclear small-bore pipe research using deducted condition in the advanced research. Defect process is processed by change for defect length, circumferential direction angle, wall-thinning depth. In the used equipment IR camera and two halogen lamps, whose full power capacitany is 1 kW, halogen lamps and Target pipe experiment performed to the distance of the changed 1 m, 1.5 m, 2 m. To analysis of the experimental results ensure for the temperature distribution data, by this data measure for defect length. artificial defect of 4 inch pipe is high reliability in the 2 m, but small-bore pipe is in the 1.5 m from the defect clearly was detected.

Malaysian Vehicle License Plate Recognition in Low Illumination Images (저 조도 영상에서의 말레이시아 차량 번호판 인식)

  • Kim, Jin-Ho
    • The Journal of the Korea Contents Association
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    • v.13 no.10
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    • pp.19-26
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    • 2013
  • In the Malaysian license plates, alphabets and numerals which are made by plastic, are adhered to a frame as embossing style and occasionally characters in horizontal, vertical directions are aligned with narrow space. So the extraction of character stroke information can be hard in the vehicle images of low illumination intensity. In this paper, Malaysian license plate recognition algorithm for low illumination intensity image is proposed. DoG filtering based character stroke generation method is introduced to derive exact connected components of strokes in the vehicle image of low illumination intensity. After localization of plate by connected component analysis, characters are segmented and recognized. Algorithm is experimented for the 6,046 vehicle images captured in Kuala Lumpur by IR camera without using any special light during day and night. The experimental results show that recognition accuracy of plates is 96.1%.

IR Camera Technique Application for Evaluation of Gas Turbine Blades Covering Integrity (가스터빈의 코팅층 건정성 평가를 위한 적외선 열화상 카메라 기법 활용)

  • Kim J.Y.;Yang D.J.;Choi C.J.;Park S.G.;Ahn Y.S.;Jeong G.J.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.10a
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    • pp.192-196
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    • 2005
  • Key part of main equipment in a gas turbine may be likely to be damaged due to operation under high temperature, high pressure, high-speed rotation, etc. Accordingly, the cost for maintenance increases and the damaged parts may cause generation to stop. The number of parts for maintenance also increases, but diagnostics technology fur the maintenance actually does not catch up with the demand. Blades are made of precipitation hardening Ni superalloy IN738 and the like for keeping hot strength. The surface of a blade is thermal-sprayed, using powder with main compositions such as Ni, Cr, Al, etc. in order to inhibit hot oxidation. Conventional regular maintenance of the coating layer of a blade is made by FPI (Fluorescent Penetrant Inspection) and MTP (Magnetic Particle Testing). Such methods, however, are complicated and take long time and also require much cost. In this study, defect diagnostics were tested for the coating layer of an industrial gas turbine blade, using an infraredthermography camera. Since the infrared thermography method can check a temperature distribution on a wide range of area by means of non-contact, it can advantageously save expenses and time as compared to conventional test methods. For the infrared thermography method, however, thermo-load must be applied onto a tested specimen and it is difficult to quantify the measured data. To solve the problems, this essay includes description about producing a specimen of a gas turbine blade (bucket), applying thermo-load onto the produced specimen, photographing thermography images by an infrared thermography camera, analyzing the thermography images, and pre-testing for analyzing defects on the coating layer of the gas turbine blade.

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Small/Fast Moving Target Tracking base on Correlation Filter in Clutter Environment (클러터 환경에서 correlation filter기반 소형 고속 이동 표적 추적 시스템)

  • Jung, Young-Giu;Sun, Sun-Gu;Lee, Eui-Hyuk;Joo, Yong-Kwan;Kim, Taewan;Lee, Young-Cheol
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.4
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    • pp.93-98
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    • 2019
  • On today, optical system are the next generation weapon systems being studied in many countries, starting from USA. One of the most important technologies in optical system is a high-speed automatic target tracking system that can continuously track high-speed moving small targets. This paper designs an automatic target tracking system based on a correlated trekker that is robust against rapid shape changes for fast moving targets and small targets at a distance. The proposed system showed about 98% success rate in response to the targets that are under a complex background such as drone, ranger, etc.