• 제목/요약/키워드: multiple cameras

검색결과 225건 처리시간 0.024초

센위버 플랫폼 기반의 다중센서 협업을 이용한 모니터링 시스템 개발 (Development of a Monitoring System Based on the Cooperation of Multiple Sensors on SenWeaver Platform)

  • 권차욱;차경애
    • 한국산업정보학회논문지
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    • 제15권2호
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    • pp.91-98
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    • 2010
  • 본 논문에서는 센서네트워크시스템에서 다양한 센서 정보를 협업시켜 주변 환경을 효율적으로 감시하는 모니터링 시스템을 제안한다. 제안한 모니터링 시스템은 카메라, 이동체 및 인체 감지센서를 설치하여 예외시간에 내부 공간으로 침입하는 침입자를 감지하기 위한 목적으로 구현이 되었다. 본 논문에서 제안한 시스템은 센위버 플랫폼 상에서 개발되었으며, 실험한 결과, 다중 센서 정보의 상호보완적 활용으로 보다 효율적인 환경을 감시가 가능함을 알 수 있었다. 또한 센위버 플랫폼의 사용으로 센서 네트워크 구성이 용이하며 다양한 센서의 추가적 설치 및 활용이 가능하다. 또한 영상정보의 분석으로 움직이는 객체에 대한 판별이 가능하게 되어 센서의 동작을 단계적으로 적용시키는 체계적인 모니터링시스템의 구현이 가능함을 보였다.

3차원 환경 복원을 위한 다수 카메라 최적 배치 학습 기법 (Optimal Camera Placement Leaning of Multiple Cameras for 3D Environment Reconstruction)

  • 김주환;조동식
    • 스마트미디어저널
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    • 제11권9호
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    • pp.75-80
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    • 2022
  • 최근 현실감 있는 경험을 제공하기 위한 몰입형 가상현실(VR) 기술에 대한 연구 개발이 활발하게 진행되고 있다. 가상현실 참여자에게 실제와 유사한 실감적인 가상현실 체험을 제공하기 위해서는 실제 현실 공간에 존재하는 환경 및 객체의 정보를 정밀하게 캡처 및 복원하여 가상 환경 시스템의 모델 데이터로 적용한 시스템 구성이 필요하다. 이러한 가상 환경 구성에 필요한 실 데이터를 획득하기 위해서는 다수의 비정형 카메라를 활용한 셋업으로 이루어진다. 하지만, 다수의 비정형 위치의 카메라를 활용해 실제 공간에서의 3차원으로 구성된 정보를 획득할 경우 카메라의 개수 및 위치가 최적화되지 않아 복원의 오류가 발생할 수 있다. 또한, 정밀한 객체 복원을 위해 과도한 양의 비정형 카메라가 배치될 경우 비정형 카메라 배치에 따른 자원의 낭비 또한 발생할 수 있어 적절한 개수의 비정형 카메라가 배치되어야 한다. 본 논문에서는 3차원 공간 데이터를 복원 시 필요한 정보를 얻기 위해 배치되는 다수의 비정형 카메라를 최적화할 수 있는 최적 카메라 배치(Optimal Camera Placement) 학습 기법을 제안한다. 본 논문에서 제안한 방법을 통해 실제 환경 정보 획득 시 정확한 형태의 복원 데이터를 이용하여 가상 환경을 생성하고, 더욱 몰입도 높은 실감형 콘텐츠 시스템을 사용자에게 제공할 수 있다.

Virtual Control of Optical Axis of the 3DTV Camera for Reducing Visual Fatigue in Stereoscopic 3DTV

  • Park, Jong-Il;Um, Gi-Mun;Ahn, Chung-Hyun;Ahn, Chie-Teuk
    • ETRI Journal
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    • 제26권6호
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    • pp.597-604
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    • 2004
  • In stereoscopic television, there is a trade-off between visual comfort and 3-dimensional (3D) impact with respect to the baseline-stretch of a 3DTV camera. It is necessary to adjust the baseline-stretch at an appropriate the distance depending on the contents of a scene if we want to obtain a subjectively optimal quality of an image. However, it is very hard to obtain a small baseline-stretch using commercially available cameras of broadcasting quality where the sizes of the lens and CCD module are large. In order to overcome this limitation, we attempt to freely control the baseline-stretch of a stereoscopic camera by synthesizing the virtual views at the desired location of interval between two cameras. This proposed technique is based on the stereo matching and view synthesis techniques. We first obtain a dense disparity map using a hierarchical stereo matching with the edge-adaptive multiple shifted windows. Then, we synthesize the virtual views using the disparity map. Simulation results with various stereoscopic images demonstrate the effectiveness of the proposed technique.

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지능형 주차 관제를 위한 실내주차장에서 실시간 차량 추적 및 영역 검출 (Realtime Vehicle Tracking and Region Detection in Indoor Parking Lot for Intelligent Parking Control)

  • 연승호;김재민
    • 한국멀티미디어학회논문지
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    • 제19권2호
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    • pp.418-427
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    • 2016
  • A smart parking management requires to track a vehicle in a indoor parking lot and to detect the place where the vehicle is parked. An advanced parking system watches all space of the parking lot with CCTV cameras. We can use these cameras for vehicles tracking and detection. In order to cover a wide area with a camera, a fisheye lens is used. In this case the shape and size of an moving vehicle vary much with distance and angle to the camera. This makes vehicle detection and tracking difficult. In addition to the fisheye lens, the vehicle headlights also makes vehicle detection and tracking difficult. This paper describes a method of realtime vehicle detection and tracking robust to the harsh situation described above. In each image frame, we update the region of a vehicle and estimate the vehicle movement. First we approximate the shape of a car with a quadrangle and estimate the four sides of the car using multiple histograms of oriented gradient. Second we create a template by applying a distance transform to the car region and estimate the motion of the car with a template matching method.

순차이송방식 GMP 공정에서 공정변수가 유리렌즈 성형성에 미치는 영향 (Effect of the Molding Conditions on Formability in Progressive Glass Molding Press)

  • 정태성;박규섭;김동식
    • 소성∙가공
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    • 제18권8호
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    • pp.633-639
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    • 2009
  • Remarkable progress had been made in both technology and production of optical elements including aspheric lens. In the past, precision optical glass lenses were produced through multiple processes such as grinding and polishing, but mass production of aspheric lenses requiring high accuracy and having complex profile was rather difficult. Against such a background, the high-precision optical GMP process was developed with an eye on mass production of precision optical glass pasts by molding press. This GMP process can produce with precision and good repeatability special form lenses such as for cameras, video cameras, aspheric lenses for optical items. In this study, Design Of Experiment(Taguchi method) was adopted to find a tendency of molding conditions that influence formability. Three main factors for molding conditions were selected based on pressure at pressing stage and temperature, pressure at cooling stage. Also, the DOE was carried out and the interference patterns were measured to evaluate the formability of GMP process. From the results, it was found that the cooling pressure is the most sensitive parameter for progressive GMP process.

On low cost model-based monitoring of industrial robotic arms using standard machine vision

  • Karagiannidisa, Aris;Vosniakos, George C.
    • Advances in robotics research
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    • 제1권1호
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    • pp.81-99
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    • 2014
  • This paper contributes towards the development of a computer vision system for telemonitoring of industrial articulated robotic arms. The system aims to provide precision real time measurements of the joint angles by employing low cost cameras and visual markers on the body of the robot. To achieve this, a mathematical model that connects image features and joint angles was developed covering rotation of a single joint whose axis is parallel to the visual projection plane. The feature that is examined during image processing is the varying area of given circular target placed on the body of the robot, as registered by the camera during rotation of the arm. In order to distinguish between rotation directions four targets were used placed every $90^{\circ}$ and observed by two cameras at suitable angular distances. The results were deemed acceptable considering camera cost and lighting conditions of the workspace. A computational error analysis explored how deviations from the ideal camera positions affect the measurements and led to appropriate correction. The method is deemed to be extensible to multiple joint motion of a known kinematic chain.

Water Detection in an Open Environment: A Comprehensive Review

  • Muhammad Abdullah, Sandhu;Asjad, Amin;Muhammad Ali, Qureshi
    • International Journal of Computer Science & Network Security
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    • 제23권1호
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    • pp.1-10
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    • 2023
  • Open surface water body extraction is gaining popularity in recent years due to its versatile applications. Multiple techniques are used for water detection based on applications. Different applications of Radar as LADAR, Ground-penetrating, synthetic aperture, and sounding radars are used to detect water. Shortwave infrared, thermal, optical, and multi-spectral sensors are widely used to detect water bodies. A stereo camera is another way to detect water and different methods are applied to the images of stereo cameras such as deep learning, machine learning, polarization, color variations, and descriptors are used to segment water and no water areas. The Satellite is also used at a high level to get water imagery and the captured imagery is processed using various methods such as features extraction, thresholding, entropy-based, and machine learning to find water on the surface. In this paper, we have summarized all the available methods to detect water areas. The main focus of this survey is on water detection especially in small patches or in small areas. The second aim of this survey is to detect water hazards for unmanned vehicles and off-sure navigation.

다중 카메라의 동적인 선택 알고리즘 개발 (Developing a Dynamic Selection Algorithm in Multiple Cameras)

  • 장석우;최현준;이숙윤
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2013년도 제47차 동계학술대회논문집 21권1호
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    • pp.223-225
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    • 2013
  • 본 논문에서는 카메라가 여러 개 존재하는 다중의 카메라 환경에서 주변의 환경에 최적으로 적합한 카메라를 동적으로 선택하는 알고리즘을 제안한다. 제안된 알고리즘에서는 초기의 입력영상을 받아들인 후, 이 영상으로부터 주위의 환경을 가장 잘 표현할 수 있는 특징인 밝기와 텍스처 특징을 추출한다. 그리고 이전 단계에서 추출된 밝기와 텍스처 특징값들을 가장 잘 반영할 수 있는 카메라를 선택하는 규칙을 생성함으로써 주위 환경에 맞는 카메라를 자동으로 선택해 준다. 본 논문의 실험결과에서는 제안된 방법이 여러 가지 환경에서 잘 동작하며, 결과적으로 주위 환경에 적합한 카메라의 선택을 통해 보다 정확한 3차원의 정보를 추출함을 보여준다.

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가상 공간에서의 객체 조작을 위한 비전 기반의 손동작 인식 시스템 (Vision-based hand gesture recognition system for object manipulation in virtual space)

  • 박호식;정하영;나상동;배철수
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2005년도 추계종합학술대회
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    • pp.553-556
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    • 2005
  • We present a vision-based hand gesture recognition system for object manipulation in virtual space. Most conventional hand gesture recognition systems utilize a simpler method for hand detection such as background subtractions with assumed static observation conditions and those methods are not robust against camera motions, illumination changes, and so on. Therefore, we propose a statistical method to recognize and detect hand regions in images using geometrical structures. Also, Our hand tracking system employs multiple cameras to reduce occlusion problems and non-synchronous multiple observations enhance system scalability. Experimental results show the effectiveness of our method.

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레이저 계측법을 이용한 분무 가시화 (Spray Visualization Using Laser Diagnostics)

  • 윤영빈;고현석;김동준;길태옥
    • 한국가시화정보학회지
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    • 제3권2호
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    • pp.3-13
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    • 2005
  • The optical patterantor provides the high resolution and quantitative information of the spray. Fuel distribution and Sauter Mean Diameter (SMD) can be measured from fluorescence and Mie-scat-tering images. To correct the attenuation of the laser beam and signal in dense spray region, the method to find the geometric mean of the signal intensities obtained from two cameras was evaluated and verified in a solid-cone spray. In high pressure environment, the increased number density of the droplets cause multiple scattering. The optical patternation technique using a laser beam instead of a laser sheet was applied to minimize the multiple scattering problem. The pattern of a coaxial spray was changed from hollow-cone to solid-cone shape, and the spray angle was reduced as the ambient pressure increased from 0.1 to 4.0 MPa.

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