• Journal of Digital Contents Society
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• v.14 no.4
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• pp.411-417
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• 2013

Two-dimensional image processing method and tools Rigi then developed a report prepared by a variety of video and three-dimensional images are increasing demands for navigation. The hard part to experience in the real world experience in the virtual environment, and has the purpose to take advantage of. This is a system that provides a simple 3D background, but everyday actions that can control the system with the needs of an instinctive interface technology means. The purpose of this study a variety of human behavior using the Kinect device in action close to the three-dimensional technology to develop a new navigation control is Kinect Holography and 3D images using the input data so that you have the linkage is to design the system.

• Journal of the Korean Institute of Intelligent Systems
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• v.8 no.4
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• pp.43-52
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• 1998

We extract a hand region by using color information, which is an important feature for human vision to distinguish objects. Because pixel values in images are changed according to the luminance and lighting source, it is difficult to extract a hand region exactly without previous knowledge. We generate a hand skin model at learning stage, and extract a hand region from images by using the model. We also use a Kalman filter to consider changes of pixel values in a hand skin model. A Kalman filter restricts a search area for extracting a hand region at next frame also. The validity of the proposed method is proved by implementing the hand-region acquisition module.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06a
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• pp.112-116
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• 2010

본 논문에서는 테이블탑 디스플레이을 기반으로한 RealBook에 대하여 제안한다. 전자책은 일반 종이책이 아닌 컴퓨터를 이용한 가상의 책으로써 사용자가 독서를 하는 도중 동영상 자료를 보거나 배경음악을 들을 수 있게 해주는 멀티미디어 콘텐츠이다. 또한, 테이블탑 디스플레이 플랫폼에서 사용하므로 손의 직접적인 터치를 이용하여 전자책과 사용자 간의 좀 더 다양한 상호작용이 가능하도록 한다. 테이블탑 디스플레이에서는 손가락의 터치 점을 이용하여 다양한 제스처를 정의할 수 있어서, 사용자가 기존 입력 장치에 비해 보다 효과적으로 전자책을 체험하는 것을 돕는다. 본 논문에서는 제안하는 방법은 기존 전자책과 차별화된 상호작용 디지털와 아날로그를 결함한 책(Real book)으로써 전자책에 대한 새로운 방향을 제시할 수 있고, 미디어 아트와 스토리텔링 기법을 접목시켜 사용자에게 정보 전달뿐만 아니라 예술과 오락 등을 제공할 수 있다. 앞으로 컴퓨터와 사용자간의 상호작용을 원활하게 할 수 있어 다양한 어플리케이션 개발에 활용될 수 있고 향후 미래 지향적 시스템이 될 것이다.

• Proceedings of the KAIS Fall Conference
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• 2011.05b
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• pp.888-891
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• 2011

원만한 인간관계를 유지하기 위해 대화는 필수적인 요소이며 대화를 할 때 대체로 상대방의 눈이나 입을 주시하게 된다. 사람들은 대화를 할 때 상대방이 무슨 생각을 하는지를 눈빛, 입모양 등을 통해서 직감적으로 파악하는 방법에 의존한다. 그러나 제스처를 취하는 경우는 드물고 눈빛은 보더라도 상대방의 의도를 잘 파악하지 못하는 경우가 대부분이다. 따라서 본 논문에서는 입술 형태를 추출하고 이를 분석하여 5대 성격과의 상관관계를 연구하는 실험을 수행하였다. 이를 위해 측면 얼굴 영상을 입력자료로 사용하여 입술의 형태에 따른 피실험자 집단을 분류하고 5대 성격을 분석하기 위한 표준 설문지를 통해 무표정 상태의 입술 모양에 따른 성격을 파악하는 연구를 수행하였다.

• Journal of Korea Game Society
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• v.12 no.6
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• pp.121-130
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• 2012

Due to recent developments in smart media, the desire for interaction between humans and computers has increased. In order to satisfy these needs, gesture recognition fields have been actively studied using image processing. In this paper, we propose a method to recognize Chinese hand numeric representation using image processing. The method binarizes an input image based on skin color to extract region of interest and check the number using the angular information of stretched fingers. Our proposed method has 95.83% of recognition rate.

• Journal of the Korea Society of Computer and Information
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• v.16 no.4
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• pp.1-13
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• 2011

In this paper, we propose a gesture recognition system to recognize motions using the shape information of MHI (Motion History Image). The system acquires MHI to provide information on motions from images with input and extracts the gradient images from such MHI for each X and Y coordinate. It extracts the shape information by applying the shape context to each gradient image and uses the extracted pattern information values as the feature values. It recognizes motions by learning and classifying the obtained feature values with a SVM (Support Vector Machine) classifier. The suggested system is able to recognize the motions for multiple people as well as to recognize the direction of movements by using the shape information of MHI. In addition, it shows a high ratio of recognition with a simple method to extract features.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2011.11a
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• pp.154-157
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• 2011

인간의 동작 인식은 가상 현실 시스템 및 게임 등에 적용할 수 있는 컴퓨터 비전 분야의 요소 기술 중 하나로써, 최근까지 그 연구과 활발히 진행되고 있다. 본 논문에서는 빠르고 정확한 동작 인식을 위해, 실루엣과 모션 특징이 결합된 방법을 제안한다. 제안하는 방법은 전역 특징을 이용한 후보 동작 선정 및 지역 특징을 이용한 검증 2 단계로 구성된다. 전역 특징은 Motion History Image의 Hu 모멘트를 이용해 계산되며, 후보 동작의 선정은 이들의 통계치를 이용해 결정한다. 한정된 후보 동작들 중 입력 동작을 정확히 인식하기 위해, 공간 및 방향성 비닝 기법으로 추출된 광류와 실루엣 특징을 지역 특징으로 이용한다. 최종 인식 결과는 Hu 모멘트 통계치와의 유사도 및 지역 특징의 학습을 통해 생성된 Support Vector Machine의 결과를 고려하여 결정된다. 제안하는 방법의 성능을 평가하기 위해, 실세계에서 사용 빈도가 높으며 동작의 변화가 큰 13 개의 제스처를 선정하여 데이터 셋을 구성하였다. 실험 결과 제안하는 방법의 연산 시간은 50 ms, 인식 정확도는 95%임을 확인하였다.

• Journal of Korea Game Society
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• v.11 no.5
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• pp.67-78
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• 2011

This paper introduces an efficient and satisfactory search interface that enables users to browse and find the video data they want from a massively huge video database widely used in various multimedia environment. The target user group is information analysts at US defense industry or governmental intelligence agencies whose job is to identify a certain person from a lot of video footage taken from CCTV(Closed-circuit Television) cameras. For the first user test, we suggested the CAVE-like virtual reality interface to be the most optimal for the tasks we designed for, so we compared this interface with desktop interface. The softwares and database developed and optimized for each task were used in this user test. For the second user test, we researched on what input devices would be most optimal for enhancing efficiency of search task in the CAVE-like virtual reality system. Especially we focused our effort on measuring the effectiveness and user satisfaction of three different types of devices that embody gestural interface input system that encourages users' ergonomic control of the interface. We also measured the time consumed for performing each task to find out the most efficient input device among the ones tested.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.3
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• pp.541-550
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• 2014

This paper describes a multi-scale user interaction based tiled display visualization system using multiple input devices for monitoring and analyzing Geostationary Ocean Color Imager (GOCI) observation satellite imagery. This system provides multi-touch screen, Kinect motion sensing, and moblie interface for multiple users to control the satellite imagery either in front of the tiled display screen or far away from a distance to view marine environmental or climate changes around Korean peninsular more effectively. Due to a large amount of memory required for loading high-resolution GOCI satellite images, we employed the multi-level image load technique where the image was divided into small tiled images in order to reduce the load on the system and to be operated smoothly by user manipulation. This system performs the abstraction of common input information from multi-user Kinect motion and gestures, multi-touch points and mobile interaction information to enable a variety of user interactions for any tiled display application. In addition, the unit of time corresponding to the selected date of the satellite images are sequentially displayed on the screen and multiple users can zoom-in/out, move the imagery and select buttons to trigger functions.

• Journal of Broadcast Engineering
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• v.17 no.4
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• pp.611-624
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• 2012

'Gesture' is the most intuitive means of communication except the voice. Therefore, there are many researches for method that controls computer using gesture input to replace the keyboard or mouse. In these researches, the method of user detection and main body parts estimation is one of the very important process. in this paper, we propose user objects detection and main body parts estimation method on inaccurate depth information for pose estimation. we present user detection method using 2D and 3D depth information, so this method robust to changes in lighting and noise and 2D signal processing 1D signals, so mainly suitable for real-time and using the previous object information, so more accurate and robust. Also, we present main body parts estimation method using 2D contour information, 3D depth information, and tracking. The result of an experiment, proposed user detection method is more robust than only using 2D information method and exactly detect object on inaccurate depth information. Also, proposed main body parts estimation method overcome the disadvantage that can't detect main body parts in occlusion area only using 2D contour information and sensitive to changes in illumination or environment using color information.