• 한국멀티미디어학회논문지
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• 제18권8호
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• pp.943-949
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• 2015

A reader usually spends a lot of time browsing and searching word meaning in a dictionary, internet or smart applications in order to find the unknown words. In this paper, we propose a method to compensate this drawback. The proposed method introduces a vocabulary upon recognizing a word or group of words that was captured by a smart phone camera. Through this proposed method, organizing and editing words that were captured by smart phone, searching the dictionary data using bisection method, listening pronunciation with the use of speech synthesizer, building and editing of vocabulary stored in database are given as the features. A smart phone application for organizing English words was established. The proposed method significantly reduces the organizing time for unknown English words and increases the English learning efficiency.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.311-315
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• 2009

The ubiquitous smart home is the home of future that takes advantage of context information from user and home environment and provides automatic home services for the user. User's location and motion are the most important contexts in the ubiquitous smart home. This paper presents a method positioning user's location using four cameras and some home context parameter together with user preferences provided. Some geometry math problems would be raised to figure out approximately which area is monitored by cameras. The moving object is detected within the image frames and then simulated in a 2D window to present visually where user is located and show his moving. The moving ways are statistically recorded and used for predicting user's future moving.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2022년도 추계학술발표대회
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• pp.791-793
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• 2022

1인 가구의 증가로 셀프 인테리어의 관심이 높아지자 온라인 구매로 인테리어를 하는 경우가 많다. 그러나 가구를 주문해도 비율적이나 시각적으로 달라 환불하는 경우가 많다. 본 연구에서는 Unity의 AR, VR기술을 활용하여 가구 배치, 거리 측정, 벽지 변환 등의 기능으로 손쉽게 인테리어를 할 수 있고, 자신의 인테리어를 다른 사용자와 공유해 평가 및 비교를 할 수 있는 플랫폼 앱을 구현하여, 인테리어를 손쉽게 할 수 있는 서비스를 제공하고자 한다.

• 한국멀티미디어학회논문지
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• 제17권4호
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• pp.506-513
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• 2014

In recent years, research on user's activity recognition using a smart phone has attracted a lot of attentions. A smart phone has various sensors, such as camera, GPS, accelerometer, audio, etc. In addition, smart phones are carried by many people throughout the day. Therefore, we can collect log data from smart phone sensors. The log data can be used to analyze user activities. This paper proposes an approach to inferring a user's physical activities based on the tri-axis accelerometer of smart phone. We propose recognition method for four activity which is physical activity; sitting, standing, walking, running. We have to convert accelerometer raw data so that we can extract features to categorize activities. This paper introduces a recognition method that is able to high detection accuracy for physical activity modes. Using the method, we developed an application system to recognize the user's physical activity mode in real-time. As a result, we obtained accuracy of over 80%.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권8호
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• pp.3090-3102
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• 2015

The accuracy of an augmented reality (AR) application is highly dependent on the resolution of the object's image and the device's computational processing capability. Naturally, a mobile smart device equipped with a high-resolution camera becomes the best platform for portable AR services. AR applications require significant energy consumption and very fast response time, which are big burdens to the smart device. However, there are very few ways to overcome these burdens. Computation offloading via mobile cloud computing has the potential to provide energy savings and enhance the performance of applications executed on smart devices. Therefore, in this paper, adaptive mobile computation offloading of mobile AR applications is considered in order to determine optimal offloading points that satisfy the required quality of experience (QoE) while consuming minimum energy of the smart device. AR feature extraction based on SURF algorithm is partitioned into sub-stages in order to determine the optimal AR cloud computational offloading point based on conditions of the smart device, wireless and wired networks, and AR service cloud servers. Tradeoffs in energy savings and processing time are explored also taking network congestion and server load conditions into account.

• IEIE Transactions on Smart Processing and Computing
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• 제6권3호
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• pp.175-182
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• 2017

In this paper, we present a multi-depth generation method using a time-of-flight (ToF) fusion camera system. Multi-view color cameras in the parallel type and ToF depth sensors are used for 3D scene capturing. Although each ToF depth sensor can measure the depth information of the scene in real-time, it has several problems to overcome. Therefore, after we capture low-resolution depth images by ToF depth sensors, we perform a post-processing to solve the problems. Then, the depth information of the depth sensor is warped to color image positions and used as initial disparity values. In addition, the warped depth data is used to generate a depth-discontinuity map for efficient stereo matching. By applying the stereo matching using belief propagation with the depth-discontinuity map and the initial disparity information, we have obtained more accurate and stable multi-view disparity maps in reduced time.

• International Journal of Internet, Broadcasting and Communication
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• 제8권4호
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• pp.54-57
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• 2016

In this paper, the method for an effective and intelligent route decision of the automatic ground vehicle (AGV) using a 2D spatial map of the stereo camera system is proposed. The depth information and disparity map are detected in the inputting images of a parallel stereo camera. The distance between the automatic moving robot and the obstacle detected and the 2D spatial map obtained from the location coordinates, and then the relative distance between the obstacle and the other objects obtained from them. The AGV moves automatically by effective and intelligent route decision using the obtained 2D spatial map. From some experiments on robot driving with 480 frames of the stereo images, it is analyzed that error ratio between the calculated and measured values of the distance between the objects is found to be very low value of 1.57% on average, respectably.

• International journal of advanced smart convergence
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• 제11권3호
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• pp.150-156
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• 2022

Recently, the use of Unreal Engine for animation production is increasing. In this situation, Unreal Engine's 'MetaHuman Creator' helps make it easier to apply realistic characters to animation. In this regard, we tried to produce animations using 'MetaHuman' and verify the effectiveness and differences from the animation production process using only Maya software. To increase the efficiency of the production process, the animation process was made with Maya software. We tried to import animation data from Unreal Engine and go through the process of making animations, and try to find out if there are any problems. And we tried to compare animations made with realistic 'MetaHuman' characters and animation works using cartoon-type characters. The use of the same camera lens in realistic character animations and cartoon character animations produced based on the same scenario was judged to be the cause of the lack of realistic animation screen composition. The analysis revealed that a different approach from the existing animation camera lens selection is required for the selection of the camera lens in the production of realistic animation.

• 한국화재소방학회논문지
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• 제27권6호
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• pp.77-82
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• 2013

본 연구에서는 유무선 TCP/IP 기능과 Pan/Tilt 기능을 갖는 Charge-Coupled Device (CCD) 카메라를 이용하여 화재발생 위치를 추적하고, 스마트 모바일 통신 기능을 탑재한 안드로이드 시스템에 실시간으로 정보를 전달하여 원거리에서 화재를 인식하고 재난을 제어할 수 있는 스마트 화재 인식 시스템을 제안하였다. 제안한 방법을 구현하기 위하여 첫째, 입력영상을 hue saturation intensity (HSI) 변환하여 주변 밝기와 잡영상들을 제거하여 순수한 화염만을 분할하는 알고리즘을 제안하였다. 둘째, Pan/Tilt 기능으로 화재가 발생한 위치를 정확하게 추적하여 적절하게 화재 인식을 할 수 있도록 하였다. 셋째, 모바일 기능을 탑재한 안드로이드 통신시스템으로 화재상황을 원격지에서도 확인할 수 있는 스마트한 화재 인식 시스템을 구현할 수 있도록 하였다. 제안한 방법을 확인하기 위하여 10개의 화재 동영상을 입력하고 실험을 수행한 결과 10개의 동영상에서 화재영역을 분할하고 화재 위치를 모두 추적하였다.

• 한국산학기술학회논문지
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• 제15권12호
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• pp.7187-7192
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• 2014

최근 들어, 위치 기반의 서비스 분야는 다양한 사업 영역으로 확대되면서 많은 수익원을 창출하고 있다. 특히, 지도 서비스는 대중 교통, 길 찾기 등과 연동하여 다양한 정보를 제공하고 있다. 따라서, 본 논문에서는 지도 서비스의 핵심기술 중 하나로 사용되고 있는 스트리트뷰, 로드뷰의 파노라마 사진 지원 서비스를 스마트폰에서 지원할 수 있는 시스템을 설계하기 위한 연구를 수행하고자 한다. 이를 위해 스마트폰의 센서들을 활용하여 사용자들이 쉽게 파노라마 사진을 제작할 수 있도록 사진 촬영 가이드를 제공하고 여러 장의 사진에서 불필요한 부분을 제거하여 사진 연결 부분의 자연스러움 등을 처리하는 알고리즘을 적용하여 한 장의 사진으로 제공할 수 있는 기술을 설계하고자 한다. 최종적으로, 6개월 동안 스마트폰 파노라마 사진과 연동할 수 있는 시스템을 구성하고 스마트폰 파노라마 사진 어플을 운영할 수 있는 시스템을 설계하고자 한다.