• 제목/요약/키워드: Vision Based Monitoring

검색결과 233건 처리시간 0.024초

영상 분석에 기반한 교통 모니터링 시스템에 관한 조사 (A survey of traffic monitoring systems based on image analysis)

  • 이대호;박영태
    • 대한전자공학회논문지TC
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    • 제43권9호
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    • pp.69-79
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    • 2006
  • 영상 정보를 이용한 교통 모니터링 시스템에 관한 많은 연구가 이루어졌다. 대부분의 교통 모니터링 기술은 전체 영상을 분석하는 기법과 국부 영역을 검사하는 기법으로 구분된다. 하지만, 제안된 대부분의 기법들은 동작 환경이 변화할 경우 강건성의 결여로 인해 성능이 급격히 저하하는 문제점을 갖고 있다. 본 논문에서는 기존의 논문에서 제안되었던 다양한 기법들의 특성을 조사하고, 장점과 단점을 분석한다. 또한 각 응용 분야마다 영상 처리를 이용하는 기법들이 가지고 있는 문제점들을 해결 할 수 있는 적절한 방법을 고찰한다.

A Leading-Edge Operation Program of the East Sea Branch, KORDI

  • Jeon, Dong-Chull
    • Ocean and Polar Research
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    • 제28권2호
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    • pp.209-214
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    • 2006
  • The East Sea Branch (ESB) of KORDI will be launched in 2008. She will take a role of monitoring the sea surface topography and temperature by satellites, short- and long-term sea levels by tide gauges, coastal currents and open-sea circulation by setting up coastal radars and mooring current-meters and acoustic equipments, as well as monitoring nearshore processes, coastal erosion and water pollution. A basic program of coastal zone management will help ocean-policy makers to set up right decisions based upon scientific background of the regional data in the East Sea. Networking among the neighboring countries around the sea will supply more useful information not only for experts but also for ordinary vacationers or fishermen. In order for this program to be successfully settled down during the next decade, it is necessary for a leader to have the right vision to attract more experts from global brain pools and to manage the ESB as a leading-edge observatory in the world. Details about this leading-edge operational program are introduced in the text.

고속 카메라를 이용한 전차선 형상 검측 시스템 구현 (Implementation of Image Monitoring system using High Speed Camera for Overhead Contact Wire)

  • 조용현;권삼영;이기원;박현준;나해경;고병훈;박영
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2006년도 추계학술대회 논문집
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    • pp.1483-1487
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    • 2006
  • In electric railway, image monitoring using high speed camera provides reliable, timely information of wear and geometry status, important in taking decisions for overhead contact wire maintenance. The contribution of this research is the development of a simple real-time monitoring system for use in measurement subsystem of contact wire and geometry of overhead contact wire in electric railway. The system has been consists of a high speed CMOS camera with resolution $1024{\times}1280$ pixels, line type laser source and PC-based image acquisition system with PCI Express slot. Vision acquisition software have been used in application programming interface for image acquisition, display, and storage with a frequency of sampling of 500 acquisitions per second.

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POOL MONITORING IN GMAW

  • Absi Alfaro, S.C.;de Carvallio, G.C.;Motta, J.M.
    • 대한용접접합학회:학술대회논문집
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    • 대한용접접합학회 2002년도 Proceedings of the International Welding/Joining Conference-Korea
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    • pp.307-313
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    • 2002
  • This paper describes a weld pool monitoring technique, which is based on the weld pool image analysis. The proposed image analysis algorithm uses machine vision techniques to extract geometrical information from the weld pool image such as maximum weld pool width, gap width and misalignment between the joint longitudinal axis and the welding wire. These can be related to the welding parameters (welding voltage and current, wire feed speed and standoff) to produce control actions necessary to ensure that the required weld quality will be achieved. The experiments have shown that the algorithm is able to produce good estimates of the weld pool geometry; however, the adjustment of the camera parameters affects the image quality and, consequently, has a great influence over the estimation.

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Hazard analysis and monitoring for debris flow based on intelligent fuzzy detection

  • Chen, Tim;Kuo, D.;Chen, J.C.Y.
    • Structural Monitoring and Maintenance
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    • 제7권1호
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    • pp.59-67
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    • 2020
  • This study aims to develop the fuzzy risk assessment model of the debris flow to verify the accuracy of risk assessment in order to help related organizations reduce losses caused by landslides. In this study, actual cases of landslides that occurred are utilized as the database. The established models help us assess the occurrence of debris flows using computed indicators, and to verify the model errors. In addition, comparisons are made between the models to determine the best one to use in practical applications. The results prove that the risk assessment model systems are quite suitable for debris flow risk assessment. The reproduction consequences of highlight point discovery are shown in highlight guide coordinating toward discover steady and coordinating component focuses and effectively identified utilizing these two systems, by examining the variety in the distinguished highlights and the element coordinating.

자율 주차 시스템을 위한 실시간 차량 추출 알고리즘 (A Real-time Vehicle Localization Algorithm for Autonomous Parking System)

  • 한종우;최영규
    • 반도체디스플레이기술학회지
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    • 제10권2호
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    • pp.31-38
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    • 2011
  • This paper introduces a video based traffic monitoring system for detecting vehicles and obstacles on the road. To segment moving objects from image sequence, we adopt the background subtraction algorithm based on the local binary patterns (LBP). Recently, LBP based texture analysis techniques are becoming popular tools for various machine vision applications such as face recognition, object classification and so on. In this paper, we adopt an extension of LBP, called the Diagonal LBP (DLBP), to handle the background subtraction problem arise in vision-based autonomous parking systems. It reduces the code length of LBP by half and improves the computation complexity drastically. An edge based shadow removal and blob merging procedure are also applied to the foreground blobs, and a pose estimation technique is utilized for calculating the position and heading angle of the moving object precisely. Experimental results revealed that our system works well for real-time vehicle localization and tracking applications.

Monitoring of bridge overlay using shrinkage-modified high performance concrete based on strain and moisture evolution

  • Yifeng Ling;Gilson Lomboy;Zhi Ge;Kejin Wang
    • Structural Monitoring and Maintenance
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    • 제10권2호
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    • pp.155-174
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    • 2023
  • High performance concrete (HPC) has been extensively used in thin overlay for repair purpose due to its excellent strength and durability. This paper presents an experiment, where the sensor-instrumented HPC overlays have been followed by dynamic strain and moisture content monitoring for 1 year, under normal traffic. The vibrating wire and soil moisture sensors were embedded in overlay before construction. Four given HPC mixes (2 original mixes and their shrinkage-modified mixes) were used for overlays to contrast the strain and moisture results. A calibration method to accurately measure the moisture content for a given concrete mixture using soil moisture sensor was established. The monitoring results indicated that the modified mixes performed much better than the original mixes in shrinkage cracking control. Weather condition and concrete maturity at early age greatly affected the strain in concrete. The strain in HPC overlay was primarily in longitudinal direction, leading to transverse cracks. Additionally, the most moisture loss in concrete occurred at early age. Its rate was very dependent on weather. After one year, cracking survey was carried out by vision to verify the strain direction and no cracks observed in shrinkage modified mixes.

Vision-Based Activity Recognition Monitoring Based on Human-Object Interaction at Construction Sites

  • Chae, Yeon;Lee, Hoonyong;Ahn, Changbum R.;Jung, Minhyuk;Park, Moonseo
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.877-885
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    • 2022
  • Vision-based activity recognition has been widely attempted at construction sites to estimate productivity and enhance workers' health and safety. Previous studies have focused on extracting an individual worker's postural information from sequential image frames for activity recognition. However, various trades of workers perform different tasks with similar postural patterns, which degrades the performance of activity recognition based on postural information. To this end, this research exploited a concept of human-object interaction, the interaction between a worker and their surrounding objects, considering the fact that trade workers interact with a specific object (e.g., working tools or construction materials) relevant to their trades. This research developed an approach to understand the context from sequential image frames based on four features: posture, object, spatial features, and temporal feature. Both posture and object features were used to analyze the interaction between the worker and the target object, and the other two features were used to detect movements from the entire region of image frames in both temporal and spatial domains. The developed approach used convolutional neural networks (CNN) for feature extractors and activity classifiers and long short-term memory (LSTM) was also used as an activity classifier. The developed approach provided an average accuracy of 85.96% for classifying 12 target construction tasks performed by two trades of workers, which was higher than two benchmark models. This experimental result indicated that integrating a concept of the human-object interaction offers great benefits in activity recognition when various trade workers coexist in a scene.

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Targetless displacement measurement of RSW based on monocular vision and feature matching

  • Yong-Soo Ha;Minh-Vuong Pham;Jeongki Lee;Dae-Ho Yun;Yun-Tae Kim
    • Smart Structures and Systems
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    • 제32권4호
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    • pp.207-218
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    • 2023
  • Real-time monitoring of the behavior of reinforced soil retaining wall (RSW) is required for safety checks. In this study, a targetless displacement measurement technology (TDMT) consisting of an image registration module and a displacement calculation module was proposed to monitor the behavior of RSW, in which facing displacement and settlement typically occur. Laboratory and field experiments were conducted to compare the measuring performance of natural target (NT) with the performance of artificial target (AT). Feature count- and location-based performance metrics and displacement calculation performance were analyzed to determine their correlations. The results of laboratory and field experiments showed that the feature location-based performance metric was more relevant to the displacement calculation performance than the feature count-based performance metric. The mean relative errors of the TDMT were less than 1.69 % and 5.50 % for the laboratory and field experiments, respectively. The proposed TDMT can accurately monitor the behavior of RSW for real-time safety checks.

이미지 기반 기계 학습과 BIM을 활용한 자동화된 시공 진도 관리 - 합성곱 신경망 모델(CNN)과 실내측위기술, 4D BIM을 기반으로 - (Automated Construction Progress Management Using Computer Vision-based CNN Model and BIM)

  • 노주희;박문서;이현수
    • 한국건설관리학회논문집
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    • 제21권5호
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    • pp.11-19
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    • 2020
  • 시공 현장 일단위의 진도 관리는 프로젝트 전체의 일정 관리와 성공적인 건설 프로젝트 완료에 상당한 영향을 미친다. 그러나 현재의 현장 진도 관리는 작업 담당자에 의하여 수기로 작성되기 때문에 객관적 입장의 유지가 어렵고, 일과 후 추가업무로 작성되어 내용의 누락 등 오류가 발생하는 경우가 있다. 인적 오류로 인한 잘못된 기록 작성의 문제를 해결하기 위하여 기존 연구들은 객체 인식 기반 현황의 시각화 또는 자동 BIM 데이터 수정 기술을 개발하였다. 그러나 특정 장비의 사용 또는 고정된 위치에서 장비사용을 전제로 하는 방법적 한계로 인하여 건물 시공 현장 전체를 파악하는 데에는 제약이 있다. 이러한 한계를 극복하기 위하여 본 연구는 작업자가 휴대하는 스마트기기를 활용하여 촬영한 사진의 객체 인식 기술과 WIFI 기반의 실내 사용자의 측위 기술을 활용하여 추출된 정보를 BIM 데이터의 속성으로 반영하고 즉각적인 현황 파악과 향후 지속적 데이터 활용이 가능한 방법을 제안한다. 실제 시공 현장 관리에 적용 가능한 방법과 기술의 성능을 확인하였고, 기존 개발된 기술 대비 실용도가 높아 건설 현장 관리의 신속화와 정보 작성과 처리의 정밀화에 이바지할 것으로 기대된다.