• 한국컴퓨터그래픽스학회논문지
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• 제3권1호
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• pp.57-67
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• 1997

가상공간 탐색은 근본적으로 가상카메라의 조작으로 귀결된다. 이때 가상카메라는 자유도 6을 가지고 움직인다. 그러나 우리가 주로 사용하는 마우스나 조이스틱 등의 입력장치는 2D 장치이다. 따라서 입력장치의 운동에 대응되는 카메라의 운동은 어느 한 순간에는 2D운동이다. 그러므로 카메라의 6DOF(degrees of freedom) 운동은 2D 또는 1D 운동들의 결합으로 표현할 수밖에 없다. 많은 가상공간 탐색 브라우저에서는 이 문제를 해결하기 위해 여러 가지 탐색 모드를 사용한다. 그러나 다수의 모드를 설정하는데 사용된 기준이 분명하지 않고 각 모드에서 가능한 조작들이 서로 중복되는 경향이 있을 뿐만 아니라 입력장치의 감각 대응성(kinesthetic correspondence)이 미흡하기 때문에 사용자가 공간을 탐색할 때 상황을 장악하고 있다는 느낌을 가지기 힘들다. 이 문제를 해결하기 위해서는 일관적이면서도 포괄적인 단일 탐색 메타포어가 필요한데 본 논문에서는 이를 위해 헬리콥터 조종사 메타포어를 제안한다. 헬리콥터 조종사 메타포어를 이용한다는 것은 조종장치들에 의해 사용자가 공간에서 날고있는 가상 헬리콥터의 조종사가 되어 공간 영상을 탐색 한다는 의미이다. 본 논문에서는 헬리콥터의 6DOF 운동을 직관적으로 조작하기 위해서 이를 6개의 2D 운동공간, 즉, (1) 평면상의 이동, (2) 수직면상의 이동, (3) 현위치중심의 피치, 요회전, (4) 현위치중심의 롤, 피치회전, (5) 좌우상하 선회, (6) 물체중심회전, 으로 분할하고, 각 2D 운동공간을 가시화 시켜 그 공간 자체를 메뉴화 하였다. 이렇게하면 사용자로 하여금 의식적으로 특정 모드를 선택하는 부담없이 단지 필요에 의해 적절한 2D 운동공간을 시각적으로 판단할 수 있도록 해준다. 각 운동공간에서의 헬리콥터 운동은 조이스틱의 2D 조작으로 제어한다.

• 한국인지과학회:학술대회논문집
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• 한국인지과학회 2005년도 춘계학술대회
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• pp.23-27
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• 2005

언어 특히 의미에 대한 연구와 마음의 구조를 연구하는 인지과학이 어떻게 중요한 관계를 가지고 발전하는가를 살펴보기로 한다. 언어의 구조는 마음의 구조의 일부라고 본 촘스키의 입장에 동조하면서도 의미의 구조에 대해서 소극적인 입장에 서는 그의 입장에서 자유롭게 벗어나 발전하고 있는 의미에 대한 연구를 조명하고 전망하기로 한다. 언어의 의미는 내면적(internal)인 것인가 외부적(external)인 것인가 의미 내용(content)과 맥락(context)의 관계는 어떠한가, 왜 정보구조가 중요한가 등을 점검한다.

• 한국멀티미디어학회논문지
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• 제7권12호
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• pp.1680-1691
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• 2004

One of the representative methods of optical flow is a gradient method which estimates the movement of an object based on the differential of image brightness. However, the method is ineffective for large displacement of the object and many improved methods have been proposed to copy with such limitations. One of these improved techniques is the multigrid processing, which is used in many optical flow algorithms. As an alternative novel technique we have been proposing an orthogonal functional expansion method, where whole displacements are expanded from low frequency terms. This method is expected to be applicable to flow estimation with large displacement and deformation including expansion and contraction, which are difficult to cope with by conventional optical flow methods. In the orthogonal functional expansion method, the apparent displacement field is calculated iteratively by a projection method which utilizes derivatives of the invariant constraint equations of brightness constancy. One feature of this method is that differentiation of the input image is not necessary, thereby reducing sensitivity to noise. In this paper, we apply our method to several real images in which the objects undergo large displacement and/or deformation including expansion. We demonstrate the effectiveness of the orthogonal functional expansion method by comparing with conventional methods including our optimally scaled multigrid optical flow algorithm.

• 전기전자학회논문지
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• 제6권1호
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• pp.54-64
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• 2002

본 논문에서는 화상회의 영상 데이터에서 화자를 분할하고, 그 움직임을 추적하는 알고리즘을 제안하였다. 실시간 처리가 가능하도록 화자 분할과 움직임 추적 순으로 처리되는 알고리즘으로 단순화하였다. 분할 한계에서는 차분 방법에 의해 구한 움직임 정보와 영상의 밝기 정보를 사용하여 화자를 분할하였다. 분할된 화자로부터 기준 마스크 영상을 생성하였다. 움직임 추적 단계에서는 움직임 추적에 불필요한 블록들은 제외함으로써 빠르게 움직임을 추적할 수 있는 블록정합 알고리즘을 사용하여 추적하였다. 시뮬레이션에서 여러 시험 영상에 제안한 알고리즘을 적용하여 움직이는 화자를 분할하고, 그 움직임를 추적하는 올바른 결과를 얻을 수 있었다.

• 한국전기전자재료학회논문지
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• 제25권1호
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• pp.76-83
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• 2012

In a real-time indoor place recognition system using image features detection, specific markers included in input image should be detected exactly and quickly. However because the same markers in image are shown up differently depending to movement, direction and angle of camera, it is required a method to solve such problems. This paper proposes a technique to extract the features of object without regard to change of the object scale. To support real-time operation, it adopts SURF(Speeded up Robust Features) which enables fast feature detection. Another feature of this system is the user mark designation which makes possible for user to designate marks from input image for location detection in advance. Unlike to use hardware marks, the feature above has an advantage that the designated marks can be used without any manipulation to recognize location in input image.

• Journal of Mechanical Science and Technology
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• 제16권4호
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• pp.427-435
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• 2002

This paper presents a development result for image processed tracking system of multiple moving objects based on Kalman filter and a simple window tracking method. The proposed algorithm of foreground detection and background adaptation (FDBA) is composed of three modules: a block checking module(BCM), an object movement prediction module(OMPM), and an adaptive background estimation module (ABEM). The BCM is processed for checking the existence of objects. To speed up the image processing time and to precisely track multiple objects under the object's mergence, a concept of a simple window tracking method is adopted in the OMPM. The ABEM separates the foreground from the background in the reset simple tracking window in the OMPM. It is shown through experimental results that the proposed FDBA algorithm is robustly adaptable to the background variation in a short processing time. Furthermore, it is shown that the proposed method can solve the problems of mergence, cross and split that are brought up in the case of tracking multiple moving objects.

• International Journal of Contents
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• 제6권1호
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• pp.6-11
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• 2010

Recently, there has been research to use portable digital camera to recognize objects in natural scene images, including labels or marks on a cylindrical surface. In many cases, text or logo in a label can be distorted by a structural movement of the object on which the label resides. Since the distortion in the label can degrade the performance of object recognition, the label should be rectified or restored from deformations. In this paper, a new method for label detection and restoration in digital images is presented. In the detection phase, the Hough transform is employed to detect two vertical boundaries of the label, and a horizontal edge profile is analyzed to detect upper-side and lower-side boundaries of the label. Then, the biquadratic transformation is used to restore the rectangular shape of the label. The proposed algorithm performs restoration of 3D objects in a 2D space, and it requires neither an auxiliary hardware such as 3D camera to construct 3D models nor a multi-camera to capture objects in different views. Experimental results demonstrate the effectiveness of the proposed method.

• 한국실내디자인학회논문집
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• 제15권6호
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• pp.247-254
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• 2006

Apparently light does exist even if it does not have certain form that an object might have. The history of architecture can be told as the history of light. As various master architects as well as scholars mentioned, light has been recognized as one of the most important aspects in perceiving space. Although there are complex multi dimensions in body sense and perception, experiencing space through light is preliminary formed by the outline to the degree of brightness. Light gives space specific and unique character by limiting or enlarging the space by wrapping an object or by reflection of material surfaces or by the intensity of light itself. It is fundamentally important to recognize the essential relationship between light and perception of space through various medias such as material, form, movement and so on. Three types of space perception and cognition by light that have been categorized after studying the most significant writings on light become the core method to further analyze the selected case projects. In this research, we will study how interior space is expressed through different light conditions with above mentioned characteristics and how such expressions can be applicable to the design of interior space.

• Journal of Communications and Networks
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• 제16권4호
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• pp.465-474
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• 2014

Wireless sensor network (WSN) is considered to be one of the most important research fields for ubiquitous healthcare (u-healthcare) applications. Healthcare systems combined with WSNs have only been introduced by several pioneering researchers. However, most researchers collect physiological data from medical nodes located at static locations and transmit them within a limited communication range between a base station and the medical nodes. In these healthcare systems, the network link can be easily broken owing to the movement of the object nodes. To overcome this issue, in this study, the fast link exchange minimum cost forwarding (FLE-MCF) routing protocol is proposed. This protocol allows real-time multi-hop communication in a healthcare system based on WSN. The protocol is designed for a multi-hop sensor network to rapidly restore the network link when it is broken. The performance of the proposed FLE-MCF protocol is compared with that of a modified minimum cost forwarding (MMCF) protocol. The FLE-MCF protocol shows a good packet delivery rate from/to a fast moving object in a WSN. The designed wearable platform utilizes an adaptive linear prediction filter to reduce the motion artifacts in the original electrocardiogram (ECG) signal. Two filter algorithms used for baseline drift removal are evaluated to check whether real-time execution is possible on our wearable platform. The experiment results shows that the ECG signal filtered by adaptive linear prediction filter recovers from the distorted ECG signal efficiently.

• 디지털융복합연구
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• 제13권9호
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• pp.251-257
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• 2015

최근에는 물체의 움직임을 감지하는 기술은 에너지 절약, 충돌방지, 자동문 개폐 등 다양한 분야에 적용되고 있다. 도플러 센서는 기존의 적외선 센서, 초음파 센서들의 문제점을 보완할 수 있는 센서로 온도, 잡음, 먼지 등과 같은 주변 환경에 큰 영향을 받지 않는다. 본 논문에서는 24시간 점등되어 있는 LED조명등을 도플러 센서로 물체가 감지 될 때만 ON, 없을 때는 OFF상태로 전환하고, LED조명등의 조도를 2단으로 제어하는 컨버터를 개발하였다. 개발된 도플러 센서 모듈과 절전형 제어 컨버터를 주차장등에 적용하여 절전 효과를 증명하였다.