• 제목/요약/키워드: active camera

검색결과 298건 처리시간 0.027초

능동적 원격감시를 위한 스테레오 카메라 시스템의 개발 (Development of the Stereo Camera System for Active Remote Monitoring)

  • 박강;조대희
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1997년도 추계학술대회 논문집
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    • pp.437-441
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    • 1997
  • In the conventional remote monitoring system, a user in front of a computer monitor can acquire only 2 dimensional visual information in a passive way. Thus, even thoght the user finds an interesting object from the video image, helshe can hardly acquire additional information on the object such as name. 311 shape, etc. In this paper, an active monitoring system that shows additional information on the selected object is proposed. The active remote monitoring system can calculate the 3D position of the object that is selected in the video images. Then, using the 3D position of the object, other information on the object can be retrieved from the database and shown on the screen. To calculate the 3D position of the object, 2 CCD cameras that can be tilted and panned using 3 stepping motors are used. The algorithm of 3D position calculation and the result of experiments are explained.

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저비용, 저전력 카메라 폰 구현을 위한 하드웨어 자원 공유가 가능한 카메라 제어 프로세서의 설계 (Design of a Hardware Resource Sharable Camera Control Processor for Low-Cost and Low-Power Camera Cell Phones)

  • 임규삼;백광현;김석기
    • 대한전자공학회논문지SD
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    • 제47권3호
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    • pp.35-40
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    • 2010
  • 본 논문에서는 저비용, 저전력 카메라 폰 구현을 위한 하드웨어 자원 공유가 가능한 구조의 카메라 제어 프로세서를 제안한다. 제안한 카메라 제어 프로세서의 구조는 내부에 직접 접근 경로를 내장함으로써 베이스 밴드 프로세서가 카메라 제어 프로세서의 하드웨어 자원을 직접 활용할 수 있도록 하여 베이스 밴드 프로세서의 기능 확장과 성능 향상을 도모하는데 그 목적이 있다. 또한, 제안한 구조와 결합하여 블록 단위 클럭 차단 기법을 적용하여 저전력 소비를 구현한 결과를 기술하였다. 따라서 제안한 카메라 제어 프로세서는 시스템의 하드웨어 자원 효율성을 향상시켜 저전력, 저비용 카메라 폰 시스템 구현을 가능하게 한다. 제안한 카메라 제어 프로세서는 0.18um CMOS 공정을 사용하여 제작되었으며 면적은 $3.8mm\;{\times}\;3.8mm$이다.

음성인식 및 영상처리 기반 멀티모달 입력장치의 설계 (Design of the Multimodal Input System using Image Processing and Speech Recognition)

  • 최원석;이동우;김문식;나종화
    • 제어로봇시스템학회논문지
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    • 제13권8호
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    • pp.743-748
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    • 2007
  • Recently, various types of camera mouse are developed using the image processing. The camera mouse showed limited performance compared to the traditional optical mouse in terms of the response time and the usability. These problems are caused by the mismatch between the size of the monitor and that of the active pixel area of the CMOS Image Sensor. To overcome these limitations, we designed a new input device that uses the face recognition as well as the speech recognition simultaneously. In the proposed system, the area of the monitor is partitioned into 'n' zones. The face recognition is performed using the web-camera, so that the mouse pointer follows the movement of the face of the user in a particular zone. The user can switch the zone by speaking the name of the zone. The multimodal mouse is analyzed using the Keystroke Level Model and the initial experiments was performed to evaluate the feasibility and the performance of the proposed system.

A research on the auto tracking and auto zooming modules for active camera

  • Kim, Young-Ouk;Sung, Ha-Gyeong
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.98.5-98
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    • 2002
  • 1. Introduction 2. System Overview 3. Tracking and Auto Zooming algorithm 3.2 Automatic ROI Setting 3.3 Escaping of the local distracters 4. Pan/Tilt Control System, Performance Evaluation 5. Conclusion

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얼굴 인식과 RFID를 이용한 실시간 객체 추적 및 인증 시스템 (The Etrance Authentication Systems Using Real-Time Object Extraction and the RFID Tag)

  • 정용훈;이창수;이광형;전문석
    • 디지털산업정보학회논문지
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    • 제4권4호
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    • pp.51-62
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    • 2008
  • In this paper, the proposal system can achieve the more safety of RFID System with the 2-step authentication procedures for the enhancement about the security of general RFID systems. After authentication RFID Tag, additionally, the proposal system extract the characteristic information in the user image for acquisition of the additional authentication information of the user with the camera. In this paper, the system which was proposed more enforce the security of the automatic entrance and exit authentication system with the cognitive characters of RFID Tag and the extracted characteristic information of the user image through the camera. The RFID system which use the active tag and reader with 2.4GHz bandwidth can recognize the tag of RFID in the various output manner. Additionally, when the RFID system have errors, the characteristic information of the user image is designed to replace the RFID system as it compare with the similarity of the color, outline and input image information which was recorded to the database previously. In the result of experiment, the system can acquire more exact results as compared with the single authentication system when it using RFID Tag and the information of color characteristics.

영상처리와 센서융합을 활용한 지능형 6족 이동 로봇 (Intelligent Hexapod Mobile Robot using Image Processing and Sensor Fusion)

  • 이상무;김상훈
    • 제어로봇시스템학회논문지
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    • 제15권4호
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    • pp.365-371
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    • 2009
  • A intelligent mobile hexapod robot with various types of sensors and wireless camera is introduced. We show this mobile robot can detect objects well by combining the results of active sensors and image processing algorithm. First, to detect objects, active sensors such as infrared rays sensors and supersonic waves sensors are employed together and calculates the distance in real time between the object and the robot using sensor's output. The difference between the measured value and calculated value is less than 5%. This paper suggests effective visual detecting system for moving objects with specified color and motion information. The proposed method includes the object extraction and definition process which uses color transformation and AWUPC computation to decide the existence of moving object. We add weighing values to each results from sensors and the camera. Final results are combined to only one value which represents the probability of an object in the limited distance. Sensor fusion technique improves the detection rate at least 7% higher than the technique using individual sensor.

초음파 서모그라피를 이용한 빠른 PCB 결함 검출 (Fast Defect Detection of PCB using Ultrasound Thermography)

  • 조재완;정현규;서용칠;정승호;김승호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 학술대회 논문집 정보 및 제어부문
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    • pp.273-275
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    • 2005
  • Active thermography is being used since several years for remote non-destructive testing. It provides thermal images for remote detection and imaging of damages. Also, it is based on propagation and reflection of thermal waves which are launched from the surface into the inspected component by absorption of modulated radiation. For energy deposition, it use external heat sources (e.g., halogen lamp or convective heating) or internal heat generation (e.g., microwaves, eddy current, or elastic wave). Among the external heat sources, the ultrasound is generally used for energy deposition because of defect selective heating up. The heat source generating a thermal wave is provided by the defect itself due to the attenuation of amplitude modulated ultrasound. A defect causes locally enhanced losses and consequently selective heating up. Therefore amplitude modulation of the injected ultrasonic wave turns a defect into a thermal wave transmitter whose signal is detected at the surface by thermal infrared camera. This way ultrasound thermography(UT) allows for selective defect detection which enhances the probability of defect detection in the presence of complicated intact structures. In this paper the applicability of UT for fast defect detection is described. Examples are presented showing the detection of defects in PCB material. Measurements were performed on various kinds of typical defects in PCB materials (both Cu metal and non-metal epoxy). The obtained thermal image reveals area of defect in row of thick epoxy material and PCB.

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비젼 정보를 이용한 이동 자율로봇의 물체 추적에 관한 연구 (A Study on Object Tracking for Autonomous Mobile Robot using Vision Information)

  • 강진구;이장명
    • 한국컴퓨터정보학회논문지
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    • 제13권2호
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    • pp.235-242
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    • 2008
  • 이동자율로봇은 작업 공간을 벗어난 작업에 대하여 높은 성능을 보일 수 있으므로 고정 베이스 구조인 매니플레이터에 비하여 다양한 작업 환경에서 유용하다. 임의의 위치에 있는 물체를 인식하기 위하여 이동자율로봇에 부착된 2자유도의 능동카메라에 의해 입력되는 영상과 능동카메라의 기구학적 관계와 직각좌표계를 이용하여 물체의 위치와 이동로봇의 위치를 구하는 방법을 제시한다. 동차행렬을 이용하여 이미지정보와 물체의 위치를 해석하므로 이동자율로봇의 최적경로를 생성한다. 최종적으로, 물체의 인식을 통하여 이동로봇을 제어할 수 있는 조인트변수의 값을 계산한다. 제안된 방법은 제작된 이동자율로봇의 시뮬레이션과 실험을 통하여 확인되어지고 논의된다.

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능동적 적외선 조명을 이용한 실시간 3차원 얼굴 방향 식별 (Real Time 3D Face Pose Discrimination Based On Active IR Illumination)

  • 박호식;배철수
    • 한국정보통신학회논문지
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    • 제8권3호
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    • pp.727-732
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    • 2004
  • 본 논문에서는 능동적 적외선 조명을 이용한 3차원 얼굴 방향 식별을 위한 새로운 방법을 제안하고자 한다. 적외선 조명 하에서 밝게 나타나는 동공을 효과적으로 실시간 검출하여 추적할 수 있는 알고리즘을 제안한다. 다른 방향의 얼굴들에서 동공의 기하학적 왜곡을 탐지하여, 3차원 얼굴 방향과 동공의 기하학적 특성 사이의 관계를 나타낸 학습 데이터를 사용하여 고유한 눈 특징 공간을 구축하였고, 입력된 질의 영상에 대한 3차원 얼굴 방향을 고유한 눈 특징 공간을 사용하여 실시간으로 얼굴 방향을 측정할 수 있었다. 실험결과 카메라에 근접한 실험 대상자들에 대하여 최소 94.67%, 최고 100%의 식별 결과를 나타내었다.