• Annual Conference of KIPS
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• 2023.05a
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• pp.560-561
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• 2023

지진, 대형화재와 같은 많은 재해의 발생으로 인해 재난 안전 분야에 관심이 증가하고 있으며, 재난재해 시 신속하고 안전한 구조는 생존율에 영향을 준다. 기존 연구에서는 다양한 센서와 멀티카메라를 이용한 위치 추정 연구는 있으나, 가장 많이 설치된 단일카메라 기반의 위치 추정연구는 부족한 상태이다. 본 논문에서 단일카메라를 활용한 딥러닝 객체탐지와 거리측정 알고리즘을 이용하여 인명구조를 위한 구조대상자 위치추정시스템을 제안한다. 딥러닝을 활용한 객체탐지 기술을 이용하여 단일카메라 영상 내 객체와 해상도에 따른 바운딩 박스의 너비를 활용한 거리 계산식으로 거리를 추정하고, 객체의 위치좌표를 제공하여 신속한 재난 구조에 도움이 되는 시스템을 제안한다.

• Journal of the Semiconductor & Display Technology
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• v.22 no.3
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• pp.149-154
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• 2023

This paper presents a novel approach to multi-focus image fusion using light field cameras. The proposed neural network, LFFCNN (Light Field Focus Convolutional Neural Network), is composed of three main modules: feature extraction, feature fusion, and feature reconstruction. Specifically, the feature extraction module incorporates SPP (Spatial Pyramid Pooling) to effectively handle images of various scales. Experimental results demonstrate that the proposed model not only effectively fuses a single All-in-Focus image from images with multi focus images but also offers more efficient and robust focus fusion compared to existing methods.

• Journal of Broadcast Engineering
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• v.11 no.1 s.30
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• pp.116-129
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• 2006

The progress of data transmission technology through the Internet has spread a variety of realistic contents. One of such contents is multi-view video that is acquired from multiple camera sensors. In general, the multi-view video processing requires encoders and decoders as many as the number of cameras, and thus the processing complexity results in difficulties of practical implementation. To solve for this problem, this paper considers a simple multi-view system utilizing a single encoder and a single decoder. In the encoder side, input multi-view YUV sequences are combined on GOP units by a video mixer. Then, the mixed sequence is compressed by a single H.264/AVC encoder. The decoding is composed of a single decoder and a scheduler controling the decoding process. The goal of the scheduler is to assign approximately identical number of decoded frames to each view sequence by estimating the decoder utilization of a Gap and subsequently applying frame skip algorithms. Furthermore, in the frame skip, efficient frame selection algorithms are studied for H.264/AVC baseline and main profiles based upon a cost function that is related to perceived video quality. Our proposed method has been performed on various multi-view test sequences adopted by MPEG 3DAV. Experimental results show that approximately identical decoder utilization is achieved for each view sequence so that each view sequence is fairly displayed. As well, the performance of the proposed method is examined in terms of bit-rate and PSNR using a rate-distortion curve.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.1
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• pp.57-64
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• 2010

Measurements of deflection in load testing of structures are typically obtained with contact instrumentations such as LVDT (Linear-Variable Differential Transformer). LVDT only measure 1-dimensional deformation and in destructive testing is damage to instrumentation, thus prohibiting deflection when the beam is close to failure. Measurements of deflection using non-metric digital cameras are useful for load testing because there are very little cost or beam failure except for cheap targets and measurements in 3-dimensional deflection can obtained rapidly. In this research, deflection of concrete beam was measured using Nikon D80 DSLR camera, and the accuracy was evaluated with comparing the outputs to the LVDT measurements. The results show that the accuracy of terrestrial photogrammetric measurements are ${\pm}$0.5mm, ${\pm}$0.5mm, ${\pm}$0.6mm for each X, Y, Z directions, and the RMSE of comparison to LVDT is ${\pm}$0.57mm.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.5
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• pp.101-107
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• 2009

In this paper, we describe a method of detecting emergency situation using images from surveillance cameras and propose a mobile robot tracking system for detailed examination of that situation. We are able to track a few persons and recognize their actions by an analyzing image sequences acquired from a fixed camera on all sides of buildings. When emergency situation is detected, a mobile robot moves and closely examines the place where the emergency is occurred. In order to recognize actions of a few persons using a sequence of images from surveillance cameras images, we need to track and manage a list of the regions which are regarded as human appearances. Interest regions are segmented from the background using MOG(Mixture of Gaussian) model and continuously tracked using appearance model in a single image. Then we construct a MHI(Motion History Image) for a tracked person using silhouette information of region blobs and model actions. Emergency situation is finally detected by applying these information to neural network. And we also implement mobile robot tracking technology using the distance between the person and a mobile robot.

• Journal of Korea Multimedia Society
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• v.16 no.2
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• pp.254-268
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• 2013

This paper presents an augmented reality (AR) based rehabilitation exercise system to enhance the motor function of the hands for the paretic/hemi-paretic patient. The existing rehabilitation systems rely on mechanical apparatus for palsy rehabilitation, but we aim to use the rehabilitation system at home with easy configuration and minimized equipment by the computer vision based approach. The proposed method evaluates the interaction status of the fingertip action by using the position and the contact of the fingertip markers. We obtain the 2D positions of the fingertip markers from a single camera, and then transform the 3D positions from the calibrated camera space by using an ARToolKit marker. We adopt simple geometric calculation by the conversion of the 2D interest points into the 3D interaction points for the simple interactive task in AR environment. Some experimental results show that the proposed method is practical and simply applicable to the applications with personal AR interaction.

• Journal of Korea Multimedia Society
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• v.19 no.2
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• pp.252-263
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• 2016

Road sign is an important street furniture that gives some information such as road conditions, driving direction and condition for a driver. Thus, road sign is a major target of image recognition for self-driving car, ADAS(autonomous vehicle and intelligent driver assistance systems), and ITS(intelligent transport systems). In this paper, an enhanced road sign recognition system is proposed for MMS(Mobile Mapping System) using the single camera and GPS. For the proposed system, first, a road sign recognition scheme is proposed. this scheme is composed of detection and classification step. In the detection step, object candidate regions are extracted in image frames using hybrid road sign detection scheme that is based on color and shape features of road signs. And, in the classification step, the area of candidate regions and road sign template are compared. Second, a Geo-marking scheme for geo-content that is consist of road sign image and coordinate value is proposed. If the serious situation such as car accident is happened, this scheme can protect geographical information of road sign against illegal users. By experiments with test video set, in the three parts that are road sign recognition, coordinate value estimation and geo-marking, it is confirmed that proposed schemes can be used for MMS in commercial area.

• Proceedings of the Korean Vacuum Society Conference
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• 2015.08a
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• pp.182.2-182.2
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• 2015

최근 학계나 산업계에서 투명 전자 소자에 대하여 활발한 연구가 진행되면서, 투명 전 도성 산화물(TCO: transparent conductive oxide)에 대한 관심이 높아지고 있다. 대표적인 TCO 물질인 Indium Tin Oxide (ITO)는 가시 광 영역에서의 높은 투과 및 높은 도전성을 가져 전압을 인가하면 발열이 가능하므로 이를 투명 면상 발열체에 적용시키는 연구가 활발히 진행되고 있다. 하지만, ITO는 발열 테스트 결과 온도가 상승함에 따라 발열이 일부분에 집중되는 현상이 있으며, 전도성을 높이기 위하여 추가공정이 필요하다. 또한, 글라스의 곡면 부분에서 ITO를 사용하면 유연성이 부족하므로 크랙이 발생한다는 단점이 있다. 따라서, 최근 Silver nanowire (AgNW), Single-walled Carbon nanotube (SWCNT), ITO를 기반으로 한 AgNW에 ITO를 증착 하거나 SWCNT를 코팅하여 우수한 전기적, 광학적 특성을 지닌 하이브리드 전극이 투명 면상 발열체 재료로서 사용되고 있다. 하지만 대체된 재료들도 다양한 문제점을 가지고 있다. 예를 들어 고온에서 발열을 유지하지 못하고 끊어지거나 가시광영역의 투과율이 낮은 점 등이 있다. 이런 다양한 문제점들을 보완 할 수 있는 새로운 투명 면상 발열체에 적용한 연구가 요구되고 있다. 본 연구에서는 GZO/Ag/GZO 하이브리드 구조의 투명 면상 발열체를 제작하여 전기적, 광학적 특성을 비교하고 발열량, 온도 균일 성, 발열 유지 안정도를 확인하였다. 본 연구에서는 $50{\times}50mm$ 크기의 Non-alkali glass (삼성코닝 E2000) 기판 상에 DC마그네트론 스퍼터링 공정을 이용하여 상온에서 GZO, Ag, GZO 박막을 연속적으로 증착 하여 다층구조의 하이브리드형 투명 면상 발열체를 제조하였다. 박막 증착 파워는 DC (Ag) power 50 W, RF (GZO) power 200 W로 하였으며 GZO박막두께는 45 nm로 고정 시키고 Ag박막 두께는 5~20 nm로 변화를 주었다. 증착원은 3인치 GZO 세라믹 타깃 (2.27 wt. % Ga2O3) 과 Ag 금속 타깃 (순도 99.99%)을 사용하였으며, Ar을 40 sccm 주입 후 Working pressure는 고 순도 Ar을 사용하여 1.0 Pa로 고정하며 10분간 Pre-sputtering을하고 증착을 진행하였다. 앞선 실험을 통해 증착한 박막의 전기적, 광학적 특성은 각각 Hall-effect measurements system (ECOPIA, HMS3000), UV-Vis spectrophotometer (UV-1800, Shimadzu)를 사용해 측정 되었으며, 하이브리드 표면의 구조 및 형상은 FESEM으로 관찰하였다. 또한 표면온도 측정기infrared camera (IR camera)를 이용하여 4~12 V/cm의 전압을 인가 시 시간에 따른 투명 면상 발열체의 표면 온도변화를 관찰하였다.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.43 no.3 s.309
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• pp.8-15
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• 2006

Obstacle detection is an important task for many mobile robot applications. The methods using stereo vision and optical flow are computationally expensive. Therefore, this paper presents a vision-based obstacle detection method using only two view images. The method uses a single passive camera and odometry, performs in real-time. The proposed method is an obstacle detection method using 3D reconstruction from taro views. Processing begins with feature extraction for each input image using Dr. Lowe's SIFT(Scale Invariant Feature Transform) and establish the correspondence of features across input images. Using extrinsic camera rotation and translation matrix which is provided by odometry, we could calculate the 3D position of these corresponding points by triangulation. The results of triangulation are partial 3D reconstruction for obstacles. The proposed method has been tested successfully on an indoor mobile robot and is able to detect obstacles at 75msec.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1188-1190
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• 2003

Taipei Watershed Management Bureau (WRATB) is a government agency entitled for water resources protection at two major watersheds in order to provide drinking water for about four millions population in Taipei on a sustainable basis. At WRATB, there are two major public sewage treatment facilities which can convert sewage in each watershed into an acceptable state before they were discharged into rivers. More than 82% of household wastewater have been collected and treated by the two public sewage systems. However, households at remote area still need more effective sewage management prescriptions. The objective of this paper is to implement geographic information systems in order to provide more effective approaches that sewage management can be easier and cost effective. ArcIMS was implemented for Internet browsing and map server of those sewage facilities on personal computers, laptop computers. In the open field, ArcPAD was implemented with personal digital assistant (PDA) such that compact flash type's global positioning systems (GPS) and digital camera can be utilized with PDA. All sewage facilities digital files were convert into ArcMap format files. MapObjects and visual BASIC were used to create sewage application modules to meet every single technician personal flavor. ASP.NET was implemented for Internet database manipulations of all sewage databases. Mobile GIS was the key component of GIS applications in the open field for sewage management on a basis of house by house. Houses at remote area, which can not cover by the two public sewage systems, were managed by PDA and laptop computers with GPS and digital camera. Sewage management at Taipei Watershed Management Bureau is easier both in the open field and in the office. Integration of GPS, GIS, and PDA makes sewage management in the open field much easier. ArcIMS, MapObjects, ASP.NET and visual BASIC make sewage management can be done in the office and over Internet.