• Title/Summary/Keyword: camera image

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Real Time Multiple Vehicle Detection Using Neural Network with Local Orientation Coding and PCA

  • Kang, Jeong-Gwan;Oh, Se-Young
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.636-639
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    • 2003
  • In this paper, we present a robust method for detecting other vehicles from n forward-looking CCD camera in a moving vehicle. This system uses edge and shape information to detect other vehicles. The algorithm consists of three steps: lane detection, ehicle candidate generation, and vehicle verification. First after detecting a lane from the template matching method, we divide the road into three parts: left lane, front lane, and right lane. Second, we set the region of interest (ROI) using the lane position information and extract a vehicle candidate from the ROI. Third, we use local orientation coding (LOC) edge image of the vehicle candidate as input to a pretrained neural network for vehicle recognition. Experimental results from highway scenes show the robustness and effectiveness of this method.

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A Study on Assmbling of Sub Pictures using Approximate Junctions

  • Kurosu, Kenji;Morita, Kiyoshi;Furuya, Tadayoshi;Soeda, Mitsuru
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.06a
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    • pp.284-287
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    • 1998
  • It is important to develop a method of assembling a set of sub pictures automatically into a mosaic picture , because a view through fiberscopes or microscopes with higher magnifying power is much larger than the field of view taken by a camera. This paper presents a method of assembling sub pictures, where roughly estimated junctions called approximate junctions are employed for matching triangles formed by selected junctions in sub pictures. To over come the difficulties in processing speed and noise corruption, fuzzy rules is applied to get fuzzy values for existence of approximate junctions and fuzzy similarity for congruent triangle matching. Some demonstration, exemplified by assembling microscopic metal matrix photographs, are given to show feasibility of this method.

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A Image Contrast Enhancement Technique by Histogram Distribution Alteration Using Clustering Algorithm (클러스터링 알고리듬을 이용한 히스토그램 변경에 의한 영상 대비 향상 기법)

  • 김남진;김용수
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09b
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    • pp.177-180
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    • 2003
  • 텔레비젼 카메라, 비디콘 카메라(vidicon camera), 디지털 검지기, 스캐너 등 물리적 장치로 획득한 영상은 주위의 밝기로 인하여 어두운 영상을 얻거나 영상장치의 물리적 속성과 영상 전송에 기인하여 영상은 열악한 대비를 가질 수 있다. 본 논문에서는 획득한 저대비 영상을 대비 향상시켜주는 기법을 제안한다. 제안된 기법은 K-means 알고리듬을 사용하여 교차점을 자동으로 선정하는 방법을 사용한다. 이 최적의 교차점을 선정하는 과정은 획득한 영상을 물체와 배경으로 분리하는 두 개의 클래스 문제로 보고 K-means 알고리듬을 적용하였다. 구한 교차점을 사용하여 영상을 양분하여 히스토그램 평활화 방법을 적용하였다. 본 논문에서는 퍼지성 지수(index of fuzziness)를 사용하여 향상의 정도를 측정하였다. 제안된 기법을 저대비 영상에 적용하였으며 그 결과를 히스토그램 평활화 기법의 결과와 비교하였다.

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OBSERVATION OF IMPACT SITES OF SHOEMAKER-LEVY 9 COMET (슈메이커-레비 9 혜성의 목성 충돌관측)

  • Lee, Si-Woo;Kim, Seung-Ri;Seong, Hwan-Gyeong;Pyo, Tae-Su
    • Publications of The Korean Astronomical Society
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    • v.10 no.1
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    • pp.1-14
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    • 1995
  • We observed impact spots on Jupiter which were formed by the collision with fragments of Shoemaker-Levy 9 comet during the period from 17 July to 13 August, by using the SNU 61cm reflector combined with CCD camera and DBVRI filters. In order to get more clear image of impact spots, the observed data were processed by the unsharp masking method, high-pass filtering method and Richardson-Lucy algorithm after the basic processing through IRAF package. The sizes of impact spots range from 2000km to 1000km, and from this size, the original size of comet fragments before collision with Jupiter is estimated to be less than ${\sim}3km$. From the observed rotating rate of impact spots, the rotational period of Jupiter is determined as $9^h$ $56^m$ $32^s$ at the southern latitude of $47^{\circ}{\sim}49^{\circ}$.

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ALIS : GPR System for Humanitarian Demining and Its Deployment in Cambodia

  • Sato, Motoyuki;Yokota, Yuya;Takahashi, Kazunori
    • Journal of electromagnetic engineering and science
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    • v.12 no.1
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    • pp.55-62
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    • 2012
  • Humanitarian demining is very important issue not only in mine affected courtiers but also for the courtiers which are technically, politically and financially supporting the mine affected courtiers. In order to achieve higher efficiency of the mine clearance operation, new technologies can significantly contribute to the societies. Since 2002, Tohoku University, Japan has developed a sensor system "ALIS" for humanitarian demining. ALIS is a hand-held dual sensor, which combines an electromagnetic induction sensor (EMI) and a Ground Penetrating Radar (GPR). ALIS has a real-time sensor tracking system based on a CCD camera and which enables the image reconstruction. We have tested ALIS in Cambodia and found that it can eliminate more than 70 % metal fragments. Since 2009, 2 sets of ALIS have detected more than 80 anti-personnel mines, and cleared more than 137,000 $m^2$ in Cambodia.

Optimization-based humanoid robot navigation using monocular camera within indoor environment

  • Han, Young-Joong;Kim, In-Seok;Hong, Young-Dae
    • ETRI Journal
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    • v.40 no.4
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    • pp.446-457
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    • 2018
  • Robot navigation allows robot mobility. Therefore, mobility is an area of robotics that has been actively investigated since robots were first developed. In recent years, interest in personal service robots for homes and public facilities has increased. As a result, robot navigation within the home environment, which is an indoor environment, is being actively investigated. However, the problem with conventional navigation algorithms is that they require a large computation time for their building mapping and path planning processes. This problem makes it difficult to cope with an environment that changes in real-time. Therefore, we propose a humanoid robot navigation algorithm consisting of an image processing and optimization algorithm. This algorithm realizes navigation with less computation time than conventional navigation algorithms using map building and path planning processes, and can cope with an environment that changes in real-time.

Off-line Visual Feedback Control of SCARA Robot Using Off Line Programming (오프라인 프로그래밍을 이용한 스카라 로봇의 비쥬얼 피드백제어)

  • 신행봉;이우송;이현철;한성현
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2004.04a
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    • pp.235-240
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    • 2004
  • The equipment of industrial robot in manufacturing and assembly lines has rapidly increased. In order to achieve high productivity and flexibility, it becomes very important to develop the visual feedback control system with Off-Line Programming System(OLPS). We can save much efforts and time in adjusting robots to newly defined workcells by using OLPS. A proposed visual calibration scheme is based on position-based visual feedback. The calibration program firstly generates predicted images of objects in an assumed end-effector position. The process to generate predicted images consists of projection to screen-coordinates, visible range test and construction of simple silhouette figures. Then camera images acquired are compared with predicted ones for updating position and orientation data. Computation of error is very simple because the scheme is based on perspective projection which can be also expanded to experimental results. Computation time can be extremely reduced because the proposed method does not require the precise calculation of tree-dimensional object data and image Jacobian.

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Design of MJPEG Encoder for FH/TDD Multiple Transmissions (FH/TDD 다중전송용 MJPEG 부호화기 설계)

  • Kang, Min-Goo;Sonh, Seung-Il
    • Journal of Internet Computing and Services
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    • v.12 no.4
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    • pp.45-50
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    • 2011
  • In this paper, the encoding time delay of FH/TDD(Frequency Hopping/Time Division Duplex) based Motion JPEG image compression CODEC is analyzed for radio video transmissions of multi-camera systems in a vehicle. And, Synchronized connection of minimum channel collision is designed with synchronized shift and access according to channel status for Motion JPEG based FH/TDD multiple access.

Measurement by Essential Tremor through Interaction between the Image Projector, Camera and Laser Pointer (프로젝터 영상과 레이저 포인터의 상호작용을 통한 손 떨림 정도 측정 기법)

  • Park, Jung-Joo;Lee, Jae-Ha;Park, Jong-Il
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2016.06a
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    • pp.347-348
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    • 2016
  • 프로젝터와 레이저 포인터를 이용한 상호작용은 널리 알려져 있다. 상호작용을 통해 레이저가 쓰기 동작을 하는 것처럼 보이게 함으로써 프레젠테이션에 활용하거나 마우스 기능을 대신하여 사용자와 영상간의 상호작용을 수행하였다. 본 논문은 위의 연구를 확장하여 스크린 영상에서 레이저를 실시간 검출하여 떨림 정도를 측정하는 방안을 제안한다. 제안된 방법은 레이저 광점이 찍힌 스크린 영상을 카메라로 다시 입력 받는 과정에서 레이저를 정확하게 검출하고 이를 통해 기준점 대비 실험자의 손 떨림의 정도를 수치화 하여, 손 떨림을 검출하고자 할 때 사용되었던 기존 방법인 자세 떨림(postural tremor)이나 운동 떨림(kinetic tremor)과 같은 직관적 관찰에 비해 떨림의 정도를 효과적으로 나타낼 수 있다.

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Prediction of Camera Intrinsic Parameter using Go Board Image (바둑판 촬영 영상을 이용한 카메라 내부 파라미터 예측 방법)

  • Rhee, Kwang Jin;Lee, Yun Gu
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2017.06a
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    • pp.237-240
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    • 2017
  • 최근 바둑에 대한 관심이 급증함에 따라 바둑에 관련된 연구가 많이 진행되고 있다. 바둑에 관련된 연구가 진행 되기 위해서는 많은 양의 바둑 데이터를 취득할 필요가 있다. 바둑 데이터 중 아직도 사람의 도움없이 취득하기 어려운 데이터로는 대표적으로 기보 데이터가 있다. 따라서 기보를 자동으로 저장하는 연구가 활발하게 진행 되고 있다. 기보를 자동으로 저장하는 연구 중 바둑돌이 착수될 위치를 예측하여 기보를 저장하는 시스템은 카메라의 정보를 취득하는 것으로부터 시작된다. 많은 양의 데이터를 수집하기 위해서는 일반 사용자가 사용할 수 있는 어플리케이션의 역할이 중요하다. 하지만 카메라의 정보를 취득하는 것은 어플리케이션의 환경을 구축하는데 어려움을 야기한다. 따라서 본 논문은 어플리케이션의 환경 구축 문제점인 카메라의 정보를 바둑판 최 외각 네 끝점과 비교적 간단한 방법으로 예측하는 방법을 제안한다.

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