• 로봇학회논문지
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• 제18권2호
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• pp.197-202
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• 2023

This paper studies the method to extend the sensing range of a fiducial maker using a tilt camera. In the system that uses a fiducial marker to estimate their position on a map, the sensing range of the marker is an important issue. Although there are markers around, a robot with a fixed camera often misses nearby markers in the case that the viewing angle of the camera does not cover the sensing range of the marker. If the robot adjusts the viewing angle of a camera by adjusting the position information of the markers, this problem will be solved. The contribution of this paper is as follows. 1) Structural considerations for the tilting module of cameras attached to robots. 2) Tilting module control method considering the position of a marker and a robot. 3) Finally, verification of the differences in the sensing range of markers between the proposed system and the previous system.

• International Journal of Internet, Broadcasting and Communication
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• 제9권4호
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• pp.25-30
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• 2017

Market of smart toys is showing rapid growth globally. Recently, new types of toys which can be synced with smart phones, so called smart toys, are being released continuously. As a result, products from RC cars with camera attached that can be driven and monitored using a connected smart phone to toys that would call kid's name once it has been entered through a mobile app. It has been confirmed that there are various way to connect those toys with mobile devices. In this paper, functions of smart toys are classified, and research on different synchronization methods of the toys sold in market as of July, 2017 are explained.

• 서비스연구
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• 제5권1호
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• pp.45-55
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• 2015

공간증강현실(Spatial Augmented Reality, SAR) 기술은 초소형 프로젝터와 카메라로 구성되어 실제 사물을 인식하고, 물체 표면이나 주변에 상황에 적합한 정보 및 사용자 인터페이스를 투사(projection)하는 기술이며, 최근에는 소형 프로젝터의 등장으로 더욱 각광 받고 있는 기술이다. 본 논문에서는 공간증강현실 기술이 새로운 IT 패러다임으로 부각됨에 따라 이 기술을 이용하여 스탠드 형 모양에 프로젝터-카메라-프로세서를 설치하여 스마트 프로젝션(Smart Projection) 서비스 시스템을 구현하고, 적용한 서비스 구현사례를 소개 하고자 한다.

• 전기학회논문지
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• 제60권1호
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• pp.174-183
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• 2011

This paper is about a bar code decoding algorithm developed for smart phone applications. The algorithm consists of bar code data extraction procedure, bar code signal estimation procedure, and bar code decoding procedure. To detect the peak bar code module, a DSTW had been applied because of its outstanding performance in ECG peak detection. In order to minimize errors due to non-uniform light effect, the proposed algorithm was acted as a baseline wandering filter based on module peaks detection. The algorithm had been tested to evaluate the performance under the conditions of blurring, non-uniformed light and white noises. The algorithm had shown excellent performance in reconstruction of bar code decoding, compared to other conventional methods. In order to show the possibility of applying the algorithm to a smart phone, a real UPC-A type 150 bar code pictures obtained from a smart phone camera was applied to the algorithm, achieving the correct recognition rate of 97.33%.

• 한국통신학회논문지
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• 제39C권11호
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• pp.994-999
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• 2014

오늘 날 얼굴, 지문 또는 장문(掌紋)과 같은 생체 정보를 이용하여 사용자를 등록하고 인증하는 과정이 스마트폰을 통해 활발히 이루어지고 있다. 그 중 스마트폰의 카메라 기능을 이용해 생체 정보를 촬영 시, 일반적인 경우 카메라 프리뷰 화면에 특정 이미지를 오버레이 함으로써 가이드라인을 제시하고, 사용자로 하여금 동일한 위치에서 사진을 촬영하도록 유도하고 있다. 이 논문에서는 스마트폰을 통해 장문을 이미지로서 사용자를 등록 및 인증시에 사용할 수 있는 가이드라인 이미지를 제시하며, 해당 가이드라인 이미지를 적용한 사용자 실험을 통해 활용가능성에 대하여 알아본다.

• 한국인터넷방송통신학회논문지
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• 제14권6호
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• pp.221-227
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• 2014

본 연구에서는 사용자의 위치정보를 제공하는 GPS와 카메라가 탑재된 원격 로봇과 스마트폰 어플 기술을 응용하여 화재 발생, 원전 사고, HF 가스 누출등 과 같은 급박한 화재 상황에서 소방관을 투입하기 이전에 정확한 화재 및 가스 누출 사고 현장의 정보와 상황을 파악하여 인명 피해를 최소화 하면서 방재 활동을 실시 할 수 있도록 하고 정확한 초기 대응으로 피해를 최소화 할 수 있는 전략을 수립 할 수 있도록 하는 소형화된 원격 로봇을 설계 제작하였다. 원격로봇은 카 보디와 콘트롤러 디바이스로 구성된다. 컨트롤 디바이스의 쥐는 강도에 따라 grab의 단계를 10단계까지 변경하는 것이 가능하였다. 초기 설계모델 로봇의 유용성에 대해 확인 하였다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2011년도 춘계학술발표대회
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• pp.346-349
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• 2011

In this paper, we design a perceptually invisible dot pattern layout and its recognition scheme, and we apply the recognition scheme into a smart self learning aid for interactive learning aid. To increase maximum information capacity and also increase robustness to the noises, we design a ECC (error correcting code) based dot pattern with directional vector indicator. To make a smart self-learning aid, we embed the micro dot pattern (20 information bit + 15 ECC bits + 9 layout information bit) using K ink (CMYK) and extract the dot pattern using IR (infrared) LED and IR filter based camera, which is embedded in the smart pen. The reason we use K ink is that K ink is a carbon based ink in nature, and carbon is easily recognized with IR even without light. After acquiring IR camera images for the dot patterns, we perform layout adjustment using the 9 layout information bit, and extract 20 information bits from 35 data bits which is composed of 20 information bits and 15 ECC bits. To embed and extract information bits, we use topology based dot pattern recognition scheme which is robust to geometric distortion which is very usual in camera based recognition scheme. Topology based pattern recognition traces next information bit symbols using topological distance measurement from the pivot information bit. We implemented and experimented with sample patterns, and it shows that we can achieve almost 99% recognition for our embedding patterns.

• IEIE Transactions on Smart Processing and Computing
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• 제1권2호
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• pp.78-87
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• 2012

In this paper, we address the tracking problem caused by camera motion and rolling shutter effects associated with CMOS sensors in consumer handheld cameras, such as mobile cameras, digital cameras, and digital camcorders. A modified particle filtering method is proposed for simultaneously tracking objects and compensating for the effects of camera motion. The proposed method uses an elastic registration algorithm (ER) that considers the global affine motion as well as the brightness and contrast between images, assuming that camera motion results in an affine transform of the image between two successive frames. By assuming that the camera motion is modeled globally by an affine transform, only the global affine model instead of the local model was considered. Only the brightness parameter was used in intensity variation. The contrast parameters used in the original ER algorithm were ignored because the change in illumination is small enough between temporally adjacent frames. The proposed particle filtering consists of the following four steps: (i) prediction step, (ii) compensating prediction state error based on camera motion estimation, (iii) update step and (iv) re-sampling step. A larger number of particles are needed when camera motion generates a prediction state error of an object at the prediction step. The proposed method robustly tracks the object of interest by compensating for the prediction state error using the affine motion model estimated from ER. Experimental results show that the proposed method outperforms the conventional particle filter, and can track moving objects robustly in consumer handheld imaging devices.

• Smart Structures and Systems
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• 제24권5호
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• pp.587-595
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• 2019

Deformation measurement of large scale structures, such as the ground beds of high-rise buildings, tunnels, bridge, and railways, are important for insuring service quality and safety. The pose-relay videometrics method and displacement-relay videometrics method have already presented to measure the pose of non-intervisible objects and vertical subsidence of unstable areas, respectively. Both methods combine the cameras and cooperative markers to form the camera series networks. Based on these two networks, we propose two novel videometrics methods with closed-loop camera series network for deformation measurement of large scale structures. The closed-loop camera series network offers "closed-loop constraints" for the camera series network: the deformation of the reference points observed by different measurement stations is identical. The closed-loop constraints improve the measurement accuracy using camera series network. Furthermore, multiple closed-loops and the flexible combination of camera series network are introduced to facilitate more complex deformation measurement tasks. Simulated results show that the closed-loop constraints can enhance the measurement accuracy of camera series network effectively.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2016년도 춘계학술발표대회
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• pp.253-255
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• 2016

정보통신의 발달로 인하여 사물간의 필요한 모든 정보를 상호작용하는 IoT(Internet of Thing)환경이 발전하고 있다. 홈 IoT환경에서는 스마트폰 어플리케이션을 통하여 집안 내부를 살펴보고 외부 침입자가 들어오면 이를 감지, 신고할 수 있는 IP Camera의 수요가 증가되고 있다. 그러나 IP Camera의 해킹 사례가 증가 하고 있고 취약한 인증, 잠재적인 공격 가능성 등 보안문제가 발견되었다. 이에 본 논문에서는 대중적으로 많이 사용되고 있는 IP Camera와 Smart Phone과의 안전한 사용자 인증 프로토콜을 제안하였다.