• 제목/요약/키워드: Camera Tracking

검색결과 1,011건 처리시간 0.022초

지능형 감시 시스템을 위한 객체 추적 및 PTZ 카메라 제어 (Object Tracking & PTZ camera Control for Intelligent Surveillance System)

  • 이영식;김태우;남기환;박호식;배철수
    • 한국정보전자통신기술학회논문지
    • /
    • 제1권2호
    • /
    • pp.65-70
    • /
    • 2008
  • 본 논문에서는 지능형 감시 시스템을 위한 객체 추적 방법과 PTZ 카메라 제어에 대하여 제안하고 있다. 제안된 알고리즘의 우수성을 입증하고자 검지 영역내 차량의 진입 및 추적 실험을 하였고, 차량이 검지영역 내에서 정차시 카메라의 PTZ 를 제어하여 차량의 번호판 영상을 취득하도록 하였다. 실험에 참여한 차량은 움직이는 차량의 경우 97.4%, 정차해 있는 차량의 경우 91%의 추적율을 나타내었다. 그리고 정차해 있는 차량에 대해 번호판 위치로 정확한 PTZ 제어가 된 경우는 65대로 84.6% 이었다. 실험 결과 제안된 알고리즘이 지능형 영상 감시 시스템에서 효율적으로 사용되어 질 수 있음을 입증하였다.

  • PDF

호모그래피기반의 카메라 추적기술을 이용한 텔레프레즌스 시스템 (Tele-presence System using Homography-based Camera Tracking Method)

  • 김태협;최윤석;남보담;홍현기
    • 전자공학회논문지CI
    • /
    • 제49권3호
    • /
    • pp.27-33
    • /
    • 2012
  • 텔레프레즌스(tele-presence)와 원격조정(tele-operation) 기술은 멀리 떨어진 사용자에게 몰입감이 높은(immersive) 장면이나 모바일 로봇 등의 제어 환경을 제공한다. 본 논문에서는 호모그래피(homography) 정보 기반의 카메라 추적기술을 이용한 텔레프레즌스 시스템이 제안된다. 먼저 카메라가 탑재된 HMD(head mounted display)를 착용한 사용자의 머리 움직임을 카메라 추적기술로 분석한다. 그리고 전방향(omni-directional) 카메라를 장착한 로봇으로부터 입력되는 파노라마 영상에서 사용자의 시야(field of view)에 해당하는 장면을 생성하여 HMD를 통해 디스플레이한다. 사용자의 움직임을 추정하는 과정에서 3차원 평면으로 구성된 공간의 호모그래피 정보를 이용하며, 실제로 측정된 3차원 데이터를 기준으로 마커기반의 ARToolkit을 이용하는 방법과 호모그래피 기반 방법의 정확도를 각각 비교하였다.

Multiple Moving Person Tracking based on the IMPRESARIO Simulator

  • 김현덕;진태석
    • 한국정보통신학회:학술대회논문집
    • /
    • 한국해양정보통신학회 2008년도 춘계종합학술대회 A
    • /
    • pp.877-881
    • /
    • 2008
  • In this paper, we propose a real-time people tracking system with multiple CCD cameras for security inside the building. The camera is mounted from the ceiling of the laboratory so that the image data of the passing people are fully overlapped. The implemented system recognizes people movement along various directions. To track people even when their images are partially overlapped, the proposed system estimates and tracks a bounding box enclosing each person in the tracking region. The approximated convex hull of each individual in the tracking area is obtained to provide more accurate tracking information. To achieve this goal, we propose a method for 3D walking human tracking based on the IMPRESARIO framework incorporating cascaded classifiers into hypothesis evaluation. The efficiency of adaptive selection of cascaded classifiers have been also presented. We have shown the improvement of reliability for likelihood calculation by using cascaded classifiers. Experimental results show that the proposed method can smoothly and effectively detect and track walking humans through environments such as dense forests.

  • PDF

Parametric Active Contour를 이용한 Vehicle Tracking (Vehicle Tracking using Parametric Active Contour)

  • 나상일;이웅희;조익환;정동석
    • 대한전자공학회:학술대회논문집
    • /
    • 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅲ
    • /
    • pp.1411-1414
    • /
    • 2003
  • In this paper, vehicle tracking is implemented using parametric active contour. Extract objects from the background area is the essential step in vehicle tracking. We focus our algorithm on the situations such that the camera is fixed. However, if a simple and ordinary algorithm is adapted to achieve real-time processing, it produces much noise and the vehicle tracking results is poor. For this reason, in this paper, we propose a parametric active contour model algorithm to achieve better vehicle tracking. Experimental results show that the performance of the proposed algorithm is satisfactory.

  • PDF

이동물체 추적을 위한 능동시각 시스템 구축 (Active eye system for tracking a moving object)

  • 백문홍
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
    • /
    • pp.257-259
    • /
    • 1996
  • This paper presents the active eye system for tracking a moving object in 3D space. A prototype system able to track a moving object is designed and implemented. The mechanical system ables the control of platform that consists of binocular camera and also the control of the vergence angle of each camera by step motor. Each camera has two degrees of freedom. The image features of the object are extracted from complicated environment by using zero disparity filtering(ZDF). From the cnetroid of the image features the gaze point on object is calculated and the vergence angle of each camera is controlled by step motor. The Proposed method is implemented on the prototype with robust and fast calculation time.

  • PDF

전자 나침반과 적외선 광원 추적을 이용한 이동로봇용 위치 인식 시스템 (Localization System for Mobile Robot Using Electric Compass and Tracking IR Light Source)

  • 손창우;이승희;이민철
    • 제어로봇시스템학회논문지
    • /
    • 제14권8호
    • /
    • pp.767-773
    • /
    • 2008
  • This paper presents a localization system based on the use of electric compass and tracking IR light source. Digital RGB(Red, Green, Blue)signal of digital CMOS Camera is sent to CPLD which converts the color image to binary image at 30 frames per second. CMOS camera has IR filter and UV filter in front of CMOS cell. The filters cut off above 720nm light source. Binary output data of CPLD is sent to DSP that rapidly tracks the IR light source by moving Camera tilt DC motor. At a robot toward north, electric compass signals and IR light source angles which are used for calculating the data of the location system. Because geomagnetic field is linear in local position, this location system is possible. Finally, it is shown that position error is within ${\pm}1.3cm$ in this system.

자율 이동로봇의 경로추정을 위한 적응적 공간좌표 검출 기법 (Adaptive Spatial Coordinates Detection Scheme for Path-Planning of Autonomous Mobile Robot)

  • 이정석;고정환
    • 전기학회논문지P
    • /
    • 제55권2호
    • /
    • pp.103-109
    • /
    • 2006
  • In this paper, the detection scheme of the spatial coordinates based on stereo camera for a intelligent path planning of an automatic mobile robot is proposed. In the proposed system, face area of a moving person is detected from a left image among the stereo image pairs by using the YCbCr color model and its center coordinates are computed by using the centroid method and then using these data, the stereo camera embedded on the mobile robot can be controlled for tracking the moving target in real-time. Moreover, using the disparity mad obtained from the left and right images captured by the tracking-controlled stereo camera system and the perspective transformation between a 3-D scene. and an image plane, depth information can be detected. Finally, based-on the analysis of these calculated coordinates, a mobile robot system is derived as a intelligent path planning and a estimation.

The development of the landmark tracking system

  • Lee, Eun Ho;Dickerson, Steve
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 22-24 Oct. 1991
    • /
    • pp.1894-1898
    • /
    • 1991
  • A landmark tracking system(LTS) has been developed for use in locating objects in a manufacturing environment. The Landmark Tracking System is an integrated system which consists of a grey scale CCD camera, an image processor, an illumination system based on electronic flash, and software intended primarily for tracking retroreflective landmarks. The term "integreated" means that the camera electronics and the strobe electronics are directly linked to the computer system, governed by the same clock and under direct software control. A novel element in the LTS is that a pinhole is used for the optics.he optics.

  • PDF

Registration of UAV Overlapped Image

  • Ochirbat, Sukhee;Cho, Eun-Rae;Kim, Eui-Myoung;Yoo, Hwan-Hee
    • 한국GIS학회:학술대회논문집
    • /
    • 한국GIS학회 2008년도 공동추계학술대회
    • /
    • pp.245-246
    • /
    • 2008
  • The goal of this study is to explore the possibility of KLT tracker for tracking the features between two images including rotation and shift. As a test site, Jangsu-Gun area of South Korea is selected and the images taken from UAV camera are used for analysis. The analysis was carried out using KLT tracker developed in a PC environment. The results of the experiment used two images with the large overlapping area are compared with the results of two images with the little overlapping area and rotation. Overall, the research indicates that the integrated features of littlerotation and motion images can significantly increase during the tracking process. But using KLT tracker for extracting and tracking features between images with large rotation and motion, the number of tracked features are decreased.

  • PDF

깊이 센서를 이용한 능동형태모델 기반의 객체 추적 방법 (Active Shape Model-based Object Tracking using Depth Sensor)

  • 정훈조;이동은
    • 디지털산업정보학회논문지
    • /
    • 제9권1호
    • /
    • pp.141-150
    • /
    • 2013
  • This study proposes technology using Active Shape Model to track the object separating it by depth-sensors. Unlike the common visual camera, the depth-sensor is not affected by the intensity of illumination, and therefore a more robust object can be extracted. The proposed algorithm removes the horizontal component from the information of the initial depth map and separates the object using the vertical component. In addition, it is also a more efficient morphology, and labeling to perform image correction and object extraction. By applying Active Shape Model to the information of an extracted object, it can track the object more robustly. Active Shape Model has a robust feature-to-object occlusion phenomenon. In comparison to visual camera-based object tracking algorithms, the proposed technology, using the existing depth of the sensor, is more efficient and robust at object tracking. Experimental results, show that the proposed ASM-based algorithm using depth sensor can robustly track objects in real-time.