• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
• /
• pp.277-277
• /
• 2000

This paper's purpose obtain information of three dimension using a camera. This system embody to know the height of object using triangle method between reference point of circumstance and object. As I use java program, it is possible to make system regardless of operating system, set up the system. By using comportable USB port camera, we used to everywhere without the capture board. We can use the internet by using the java's JMF and applet everywhere, we regard the camera as fixed.

• International Journal of Control, Automation, and Systems
• /
• 제5권6호
• /
• pp.663-673
• /
• 2007

This paper presents a new moving obstacle detection method using an optical flow in mobile robot with an omnidirectional camera. Because an omnidirectional camera consists of a nonlinear mirror and CCD camera, the optical flow pattern in omnidirectional image is different from the pattern in perspective camera. The geometry characteristic of an omnidirectional camera has influence on the optical flow in omnidirectional image. When a mobile robot with an omnidirectional camera moves, the optical flow is not only theoretically calculated in omnidirectional image, but also investigated in omnidirectional and panoramic images. In this paper, the panoramic image is generalized from an omnidirectional image using the geometry of an omnidirectional camera. In particular, Focus of expansion (FOE) and focus of contraction (FOC) vectors are defined from the estimated optical flow in omnidirectional and panoramic images. FOE and FOC vectors are used as reference vectors for the relative evaluation of optical flow. The moving obstacle is turned out through the relative evaluation of optical flows. The proposed algorithm is tested in four motions of a mobile robot including straight forward, left turn, right turn and rotation. The effectiveness of the proposed method is shown by the experimental results.

• 한국정보통신학회논문지
• /
• 제15권6호
• /
• pp.1381-1385
• /
• 2011

최근 출시되는 고사양의 Hand-phone에 적용되어진 Camera Module은 대부분 Auto Focusing기능이 탑재되어 있으며 Camera Module의 화소 수가 높아지면서 좀 더 정밀하고 안정적인 AF구동제품이 소비자에 의해 요구되고 있다. 본 논문은 현재 출시되고 있는 Camera Module적용 VCM(Actuator)의 문제점인 Auto Focusing시 Lens 초점위치 및 Module 자세에 따른 해상도편차 발생으로 해상도 보증 및 안정된 Actuator 구동을 위해 개선된 구조의 변경구조 VCM을 제안한다.

• 한국소음진동공학회논문집
• /
• 제27권1호
• /
• pp.57-64
• /
• 2017

This study was reviewed the noise reduction effects with installation of 'point to point speed camera' for controlling the speed of the car. The multiple regression analysis was performed to know how the relationship between the noise level and these parameters, such as measured traffic volume and rate of heavy vehicle and weighted average speed was changed with and without the 'point to point speed camera'. In the analysis results shows that the less traffic volume, the more noise reduction effect has been increased and the more traffic volume, the more noise reduction effect has been reduced. And noise reduction effects by the 'point to point speed camera' was different from each measured point. The cause of the difference was determined that inadequate 'point to point speed camera' position to see the effect of noise reduction. It is determined to require a more study to improve the noise reduction effects of the 'point to point speed camera' such as the camera position adjustment.

• 대한교통학회지
• /
• 제23권5호
• /
• pp.35-45
• /
• 2005

자동 과속 단속 시스템은 중요한 교통사고 예방 대책의 하나이다. 운전자는 자동과속단속시스템 설치 지점 부근에서 속도를 감속하고 설치지점 통과 후 다시 가속한다. 따라서 단속의 목적을 둔 과속단속시스템은 충분한 안전 효과를 발휘하는데 한계가 있으며, 속도 관리 개념의 설치 방안이 마련될 필요가 있다 본 연구는 연속된 도로 구간을 주행하는 운전자의 주행속도 변화를 일정 범주 내로 유지시키는 도로 설계 일관성 개념을 과속단속시스템의 설치위치 선정에 적용하였다. 또한 과속단속시스템도 도로 곡선부 등 선형 요소와 마찬가지로 운전자의 주행속도를 변화시키는 설계 요소의 하나로 간주하고, 설계 일관성 개념 및 평가기준을 동일하게 적용한 설치 방안을 제안하였다.

• 천문학논총
• /
• 제16권1호
• /
• pp.31-36
• /
• 2001

We present the characteristics of the 2K CCD camera at the Bohyunsan Optical Astronomy Observatory of the Korea Astronomy Observatory at the time of its development. The purpose of this paper is to support the observers who may need detailed information on the characteristics of the camera and to provide helpful information on the optimization' of a CCD camera for those who try to develop their own camera. The 2K CCD camera was optimized to have a gain of $1.8e^-/ADU$ and a read out noise of $7e^-$ from an experiment using radioactive $^{55}Fe$ X-ray source. The charge transfer efficiency was measured as 0.9999976 for serial and 0.9999942 for parallel direction, which means $0.5\%$ charge loss along the serial direction and $1.2\%$ along the parallel direction across the chip. The quantum efficiency of the camera was measured from an experiment using a homogeneous light source consisting of a halogen lamp and an integrating sphere with a monochromator. The resulting quantum efficiency of the camera peaked at the wavelength range 600-700 nm with the value of $\~0.89$.

• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 2006년도 춘계학술대회 학술발표 논문집 제16권 제1호
• /
• pp.56-58
• /
• 2006

Camera calibration in machine vision is the process of determining the intrinsic cameara parameters and the three-dimensional (3D) position and orientation of the camera frame relative to a certain world coordinate system. On the other hand, Takagi-Sugeno-Kang (TSK) fuzzy system is a very popular fuzzy system and approximates any nonlinear function to arbitrary accuracy with only a small number of fuzzy rules. It demonstrates not only nonlinear behavior but also transparent structure. In this paper, we present a novel and simple technique for camera calibration for machine vision using TSK fuzzy model. The proposed method divides the world into some regions according to camera view and uses the clustered 3D geometric knowledge. TSK fuzzy system is employed to estimate the camera parameters by combining partial information into complete 3D information. The experiments are performed to verify the proposed camera calibration.

• 방송공학회논문지
• /
• 제13권5호
• /
• pp.596-601
• /
• 2008

본 논문은 저해상도의 깊이 카메라와 고해상도의 양안식 카메라를 결합한 복합형 카메라 시스템에서 관심영역(region of interest, ROI)이 향상된 깊이맵을 생성하는 새로운 방법을 제안한다. 제안하는 방법은 깊이 카메라로 획득한 깊이 정보를 3차원 워핑(warping)하여 좌영상의 ROI 깊이맵을 생성한다. 그런 다음, 양안식 카메라로 획득한 좌우영상의 배경 영역을 스테레오 정합하여 좌영상의 배경 깊이맵을 생성한다. 최종적으로, ROI 깊이맵과 배경 깊이맵을 결합하여 최종 깊이맵을 생성한다. 제안하는 방법으로 생성한 고해상도 깊이맵은 기존의 스테레오 정합 방법보다 ROI에 정확한 깊이 정보를 제공한다.

• 수산해양기술연구
• /
• 제47권2호
• /
• pp.146-152
• /
• 2011

Underwater CCTV camera systems are increasingly replaced the traditional net approach of assessing the species, numbers and aggregation patterns of marine animals distributing around the artificial reefs installed in the inshore fishing grounds, in particular, in relation to the biological investigation of behavior and distribution patterns of target fishes. In relation to these needs, we developed a multi-directional underwater CCTV camera system to use in detecting and tracking marine animals in the artificial reef ground. The marine targets to be investigated were independently tracked by using a camera module toward the bottom and four camera modules installed in the interval of $90^{\circ}$ in horizontal plane and inclination of $45^{\circ}$ in vertical plane of the CCTV system without the overlap of video frames by each camera module. From the results of several field tests at sea, we believe that the developed multi-directional underwater CCTV camera system will contribute to a better understanding in evaluating the effect of artificial reefs installed in the inshore fishing grounds.

• 제어로봇시스템학회논문지
• /
• 제16권3호
• /
• pp.269-276
• /
• 2010

In this paper, we present the detection method of moving objects based on two background models. These background models support to understand multi layered environment belonged in images taken by shaking camera and each model is MBM(Multiple Background Model) and TMBM (Temporal Median Background Model). Because two background models are Pixel-based model, it must have noise by camera movement. Therefore correlation coefficient calculates the similarity between consecutive images and measures camera motion vector which indicates camera movement. For the calculation of correlation coefficient, we choose the selected region and searching area in the current and previous image respectively then we have a displacement vector by the correlation process. Every selected region must have its own displacement vector therefore the global maximum of a histogram of displacement vectors is the camera motion vector between consecutive images. The MBM classifies the intensity distribution of each pixel continuously related by camera motion vector to the multi clusters. However, MBM has weak sensitivity for temporal intensity variation thus we use TMBM to support the weakness of system. In the video-based experiment, we verify the presented algorithm needs around 49(ms) to generate two background models and detect moving objects.