Earticle

보행자에 대한 실내 경로정보의 제공은 저시력자 및 시각장애인의 보행 안전성과 편의성을 증대시키기 위한 중요한기술이며, 최근, 약자에 대한 사회적 관심의 증가에 따라 그 수요가 점차 증대되는 추세이다. 본 논문은 적외선 카메라와 적외선 반사체를 이용한 인공표식을 사용하여 실내에서 보행을 위한 경로정보를 제공하는 시스템을 제안한다. 인공표식은 방향과 경로안내를 위한 가이드표식과 현 위치 지역정보 제공을 위한 위치표식으로 이루어지며, 실내 천장에 부착되어 사용자에게 지속적으로 정확한 정보를 제공한다. 가이드표식을 허프 변환을 통해 탐지하고, 동일한 경로안내에서 나타나는 유사한 기울기특성을 이용하여 점에 대한 국소적 탐색을 실시, 허프-공간의 탐색속도를 향상시킨다. 보행속도에 따른 편의성을 증대시키기 위하여, 전방에 위치한 표식을 탐지하고 표식까지의 거리 정보를 사용자에게 제공한다. 따라서 사용자는 검출된 가이드표식의 사이공간을 보행하며, 전방에 나타나는 위치표식과 방향이 전환되는 가이드표식까지의 거리정보를 실시간으로 제공한다. 본 논문에서 제안된 방법을 통해 허프-공간 탐색 시 6배이상의 속도향상과 4%이내의 오차를 갖는 거리정보 제공을 달성하였다.

Providing information of indoor path guidance with pedestrians who have poor visions is the key technology to ensure safety and convenience. Recently, the technologies aiming at the elder and the disabled have been increased in demand and arouse people's attention. In this paper, we propose a method for people with poor vision to get information of path guidance by using infrared camera and artificial landmarks. The landmarks consist of location markers and guidance markers for path guidance. The markers are attached on the ceiling and provide accurate guidance information by using infrared vision based techniques. At the detection step, we use Hough transform to detect markers, and local searching method is used to reduce the time cost in Hough-space detection. In addition, the proposed system computes the distance between the camera and the detected marker with a single infrared-camera. The person can walk between two guidance markers and be provided the distance information to location marker and the corner changing the direction. In our result, faster detection speed of Hough-space is over 6 times than the general case. Also, we gain the distance information that has below 4% error.

Vision, Radar, and LiDAR sensors are widely used for autonomous vehicle perception technology. Especially object detection and classification are primarily dependent on vision sensors. However, under poor lighting conditions, dazzling sunlight, or bad weather an object might be difficult to be identified with general vision sensors. In this paper, we propose a sensor fusion system that combines a thermal infrared camera and a LiDAR sensor that can reliably detect and identify objects even in environments with poor visibility, such as day or night. The proposed method obtains the external parameters of the two sensors by designing and manufacturing a 3D calibration target to externally calibrate the thermal infrared camera and the LiDAR sensor. To verify the performance, experiments were conducted in day and night environments. The proposed sensor system and fusion algorithm show that it can reliably detect and identify objects even in environments with poor visibility, such as day or night.

본 논문에서는 열화상 스테레오 카메라를 사용하여 춤 동작 분석을 위한 인체 검출 방법을 제안한다. 이 방법은 무용수와 스튜디오 배경의 온도차이로 무용수 영역을 검출하고 배경 차연산과 노이즈필터를 통해 무용수의 실루엣을 추출함으로써, 실내에서만 국한된 춤의 분석 장소를 실외 환경으로 확장이 가능하다. 또한 스테레오 카메라 정합에 기반한 무용수의 3차원 공간 위치를 추정하여 춤 분석을 위한 무용수 움직임의 공간정보를 알 수 있다. 이는 무용수들이 춤사위에 내포된 감정을 잘 표현 할 수 있도록 의상 및 공간의 제약 없이 춤 분석이 가능한 방법을 마련할 수 있다. 향후 무용 콘텐츠의 하나인 모션 캡쳐 등의 모델링에 도움이 되며, 다양한 첨단 분야에서 휴먼 인식의 신뢰성을 높일 수 있을 것으로 기대된다.

In this paper, we propose a human detection for dance performance analysis using infrared thermal stereo camera. The propose method detects a dancer’s silhouette difference between temperature of dancer and temperature of background. The method can be extended to the analysis of dance performance in both out-door and in-door environments by detecting silhouette features of a dance performance. Then 3D spatial coordinate estimation of a dancer based on stereo matching determines spatial data of a dancer’s region movement. The method makes it possible to analyze emotions expressed by dance performance without any limitation of clothes and space. We are looking forward to expect further improvement of human recognition in the up-to-date Science

본 논문은 환경변화에 강인한 센서 융합 교통정보 수집 시스템을 제안한다. 제안된 시스템은 각 센서의 특징을 융합하여 영상 검지기에 비해 환경에 강인하고, 주·야간 등 시간에영향을 받지 않으며 루프 검지기에 비해 유지보수에 드는 비용이 적다. 이는 레이더의 물체추적 기법과 영상검지기의 차량분류, 적외선거리계의 신뢰성 높은 객체검지 정보를 융합하고 각 센서의 문제점을 보완하여 개선을 이루었다. 구현된 시스템을 보행자의 통행이 가능한 도로에서 주·야간 5일에 걸쳐 6시간 동안 실험한 결과 88.7%의 분류정확도와 95.5%의 차량 검지율을 나타내었다. 본 시스템의 파라미터 최적화 작업을 실험환경에 따라 적응되는 방식으로 보완한다면 교통정보 수집 체계의 고도화에 기여할 수 있을 것으로 기대된다.

The purpose of this paper is to develop a multi-sensor fusion-based traffic information acquisition system with robust to environmental changes. it combines the characteristics of each sensor and is more robust to the environmental changes than the video detector. Moreover, it is not affected by the time of day and night, and has less maintenance cost than the inductive-loop traffic detector. This is accomplished by synthesizing object tracking informations based on a radar, vehicle classification informations based on a video detector and reliable object detections of a infrared range finder. To prove the effectiveness of the proposed system, I conducted experiments for 6 hours over 5 days of the daytime and early evening on the pedestrian - accessible road. According to the experimental results, it has 88.7% classification accuracy and 95.5% vehicle detection rate. If the parameters of this system is optimized to adapt to the experimental environment changes, it is expected that it will contribute to the advancement of ITS

적외선 영상은 온도 정보뿐만 아니라 파장 정보를 포함하고 있으며 이는 단일 파장의 적외선 카메라로는 분석이 불가능하다. 다중 파장 적외선 카메라는 적외선 영상에 포함된 광범위한 정보를 획득할 수 있다. 다중 파장 적외선 카메 라의 한 종류인 이중대역 적외선 카메라는 시스템 구성을 쉽게 할 수 있다는 이점이 있다. 이중대역 적외선 카메라는 적외선 영상에 포함된 온도정보 뿐만 아니라 파장 정보를 획득할 수 있고 이를 통해 적외선 카메라의 탐지/식별 성능을 향상시킬 수 있다. 본 논문에서는 중적외선 대역과 원적외선 대역을 동시에 획득할 수 있는 이중대역 적외선 검출기를 이용한 적외선 카메라의 설계에 대하여 기술한다.

Infrared scenes usually contain also spectral information which cannot be resolved using normal single-band infrared cameras. Multispectral infrared imaging cameras give access to the comprehensive information contained within infrared scenes. A Dual-band infrared Camera, a type of multispectral infrared imaging cameras, has the advantage of simple system. A Dual-band Infrared Camera gives access to the spectral information as wells as the temperature information within infrared scenes. Multispectral imaging generally increases the detection and identification performance of a Dual-band Infrared Camera. This paper describes a design of an infrared Camera using a Dual-band Infrared Detector to simultaneously receive infrared radiation from the medium-wave infrared/long-wave infrared(MWIR/LWIR) bands.

몰카범죄의 증가에 발맞추어 은닉형 카메라는 스마트폰의 기술발전 속도에 따라 소형화 및 기술 집적이 고도화 되어 성능이 날로 발전하고 있다. 이러한 외적인 네트워킹 컴퓨팅 환경이 고도화 되고, 활동이 많은 현대인의 생활양상이 다양화됨에 따라 일반 안전용 카메라외에 은닉형 카메라에 노출 또한 증가되고 있는 추세이다. 반면 은닉형 카메라를 탐지하고 예방하기 위한 기술은 이러한 은닉형 카메라 기술발전과 속도를 따라가지 못하고 있는 실정이다. 이에 본 연구 에서는 일반영상과 열화상 이미지 합성기술을 바탕으로 적외선 열 방식의 탐지기술을 이용하여 은닉카메라의 발열을 감지하고, 주변 온도 차이에 따른 각 파장의 반사율을 분석하여 오탐율도 줄이도록 하였다.

The performance of hidden camera cameras is improving day by day due to miniaturization and advanced technology integration according to the speed of technological development of smartphones. As this external networking computing environment is advanced and diversified, exposure to hidden cameras in addition to general safety cameras is also increasing. On the other hand, the technology for detecting and preventing hidden cameras is not keeping up with the development and speed of these hidden cameras. Therefore, in this study, the heat of the hidden camera was detected using infrared thermal detection technology based on general image and thermal image synthesis technology, and the reflectance of each wavelength according to the difference in ambient temperature was analyzed to reduce the false positive rate.

In order to reconstruct the 3D temperature field based on the binocular vision system, we carry out a research on the calibration of the infrared camera. To start with, we make a calibration board which can be clearly identified by the infrared camera; then, with the help of OpenCV, we implement the calibration of two infrared cameras respectively and rectify the infrared images. According to the parameters obtained from the single infrared camera calibration, we accomplish the stereo calibration. The experimental results show that the average reprojecting error is below 0.14 pixels and when using the system to carry out a real measurement, the average error is 3.12%. The feasibility of the proposed calibration approach is verified, the experimental measurement results is close to the ground truth.

아스팔트포장의 수명 및 공용성 확보를 위한 품질관리 대책의 하나로 아스팔트포장 포설면의 온도 불균형(Thermal Segregation) 현상 최소화를 위하여 균질한 다짐밀도를 확보하기 위한 연구가 미국에서 수행되고 있다. 특히, 적외선 카메라(Infrared Camera)를 이용하여 포설 또는 다짐작업 중인 아스팔트포장 표면의 온도분포를 파악하여 품질관리 기준으로 활용하고 있다. 국내에서도 온도분포 파악을 통한 아스팔트포장의 효율적인 다짐관리 방안이 필요하고 이에 대한 연구가 현재 수행되고 있다.

In resent years, temperature segregation has been identified as one of the most important concepts concerning segregation. An Infrared Camera is one of the tools that have been recognized to be effective in identifying temperature segregation. Several state of USA have recognized the problem and have enacted Specifications, and/or test procedures to eliminate temperature segregation. The major objective of this study is to investigate effective compaction method of hot mix asphalt during road construction using Infrared Camera.

We conducted an unbiased near- to mid-infrared imaging and spectroscopic survey of the Large Magellanic Cloud (LMC) as a part of the AKARI Mission Program "Large-area Survey of the LMC" (LSLMC, PI: T. Onaka). An area of about 10 square degrees of the LMC was observed by five photometric bands (3.2, 7, 11, 15, and $24{\mu}m$) and a low-resolution slitless prism ($2-5{\mu}m$, R ~20) equipped with AKARI /IRC. We constructed and publicly released photometric and spectroscopic catalogues of point sources in the LMC based on the survey data. The catalogues provide a large number of near-infrared spectral data, coupled with complementary broadband photometric data. Combined use of the present AKARI LSLMC catalogues with other infrared point source catalogues of the LMC possesses scientific potential that can be applied to various astronomical studies.

Using the InfraRed Camera (IRC) on board the infrared astronomical satellite AKARI we study the ${3.3{\mu}m}$ polycyclic aromatic hydrocarbon (PAH) feature and its connection to active galactic nucleus (AGN) properties for a sample of 54 hard X-ray selected bright AGN, including both Seyfert 1 and Seyfert 2 type objects. The sample is selected from the 9-month Swift/BAT survey in the 14-195 keV band and all of the sources have known neutral hydrogen column densities ($N_H$). The ${3.3{\mu}m}$ PAH luminosity ($L_{3.3{\mu}m}$) is used as a proxy for star-formation (SF) activity and hard X-ray luminosity ($L_{14-195keV}$) as an indicator of the AGN power. We explore for possible difference of SF activity between type 1 (un-absorbed) and type 2 (absorbed) AGN. We use several statistical analyses taking the upper-limits of the PAH lines into account utilizing survival analysis methods. The results of our log($L_{14-195keV}$) versus log($L_{3.3{\mu}m}$) regression shows a positive correlation and the slope for the type 1/unobscured AGN is steeper than that of type 2/obscured AGN at a $3{\sigma}$ level. Also our analysis shows that the circum-nuclear SF is more enhanced in type 2/absorbed AGN than type 1/un-absorbed AGN for low $L_{14-195keV}$ luminosity/low Eddington ratio AGN, while there is no significant dependence of SF activity on the AGN type in the high $L_{14-195keV}$ luminosities/Eddington ratios.

In this paper, we propose an efficient design method for a thermal camera with continuous zoom based on the research and manufacturing experience of the thermal camera. In addition, it is divided into system design method, optical design method, mechanical design method, and electronic design method. First, we propose an effective NUC compensation method and a lens-specific sensitivity design method in terms of system. Second, we propose a zoom trajectory design method considering the temperature effect on the optical aspect. Third, it suggests the minimization of optical axis shaking between magnification conversion in terms of mechanism. Finally, we propose a lens-specific temperature compensation method and a speed conversion algorithm according to the zoom interval as an electronic aspect.

In this paper, I present the domestic development of near infrared camera systems for the ground telescope and the space satellite. These systems are the first infrared instruments made for astronomical observation in Korea. KASINICS (KASI Near Infrared Camera System) was developed to be installed on the 1.8m telescope of the Bohyunsan Optical Astronomy Observatory (BOAO) in Korea. KASINICS is equipped with a $512{\times}512$ InSb array enable L band observations as well as J, H, and Ks bands. The field-of-view of the array is $3.3'{\times}3.3'$ with a resolution of 0.39"/pixel. It employs an Offner relay optical system providing a cold stop to eliminate thermal background emission from the telescope structures. From the test observation, limiting magnitudes are J=17.6, H=17.5, Ks=16.1 and L(narrow)=10.0 mag at a signal-to-noise ratio of 10 in an integration time of 100 s. MIRIS (Multi-purpose InfraRed Imaging System) is the main payload of the STSAT-3 in Korea. MIRIS Space Observation Camera (SOC) covers the observation wavelength from $0.9{\mu}m$ to $2.0{\mu}m$ with a wide field of view $3.67^{\circ}{\times}3.67^{\circ}$. The PICNIC HgCdTe detector in a cold box is cooled down below 100K by a micro Stirling cooler of which cooling capacity is 220mW at 77K. MIRIS SOC adopts passive cooling technique to chill the telescope below 200K by pointing to the deep space (3K). The cooling mechanism employs a radiator, a Winston cone baffle, a thermal shield, MLI of 30 layers, and GFRP pipe support in the system. Opto-mechanical analysis was made in order to estimate and compensate possible stresses from the thermal contraction of mounting parts at cryogenic temperatures. Finite Element Analysis (FEA) of mechanical structure was also conducted to ensure safety and stability in launching environments and in orbit. MIRIS SOC will mainly perform the Galactic plane survey with narrow band filters (Pa $\alpha$ and Pa $\alpha$ continuum) and CIB (Cosmic Infrared Background) observation with wide band filters (I and H) driven by a cryogenic stepping motor.

FastSLAM is a factored solution to SLAM problem using a Rao-Blackwellized particle filter. In this paper, we propose a practical FastSLAM implementation method using an infrared camera for indoor environments. The infrared camera is equipped on a Pioneer3 robot and looks upward direction to the ceiling which has infrared tags with the same height. The infrared tags are detected with theinfrared camera as measurements, and the Nearest Neighbor method is used to solve the unknown data association problem. The global map is successfully built and the robot pose is predicted in real time by the FastSLAM2.0 algorithm. The experiment result shows the accuracy and robustness of the proposed method in practical indoor environment.

In this paper, we propose an edge detection algorithm for auto focus of infrared camera. We designed and implemented the edge detection of infrared image by using a spatial filter on FPGA. The infrared camera should be designed to minimize the image processing time and usage of hardware resource because these days surveillance systems should have the fast response and be low size, weight and power. we applied the $3{\times}3$ mask filter which has an advantage of minimizing the usage of memory and the propagation delay to process filtering. When we applied Laplacian filter to extract contour data from an image, not only edge components but also noise components of the image were extracted by the filter. These noise components make it difficult to determine the focus state. Also a bad pixel of infrared detector causes a problem in detecting the edge components. So we propose an adaptive edge detection filter that is a method to extract only edge components except noise components of an image by analyzing a variance of pixel data in $3{\times}3$ memory area. And we can detect the bad pixel and replace it with neighboring normal pixel value when we store a pixel in $3{\times}3$ memory area for filtering calculation. The experimental result proves that the proposed method is effective to implement the edge detection for auto focus in infrared camera.

In this paper, we propose an efficient scene based non-uniformity correction algorithm which performs the offset correction using the uniform obtained from input scenes for Infrared camera. In general, pixel outputs of a infrared detector can not be uniform. Therefore, the non-uniformity correction procedure need to be performed to make the image outputs uniform. A typical non-uniformity correction method uses a black body at the laboratory to obtain the output of the infrared detector's pixels for two temperatures, HOT and COLD, and calculates the non-uniformity correction parameters. However, output characteristics of the Infrared detector changes while the Infrared camera is operated, the fixed pattern noise of the Infrared detector and dead pixels are generated. To remove the noise, the offset correction is generally performed. The offset correction procedure usually need the additional device such as a thermo-electric cooler, shutter, or non-uniformity correction lens. Therefore, we introduce a general scene based non-uniformity correction technique without additional equipment, and then we propose an improved non-uniformity correction algorithm based on image to solve the problem of the existing technique.