• 한국공간정보시스템학회 논문지
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• 제10권2호
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• pp.13-24
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• 2008

차세대 실감 내비게이션 시스템은 2D 기반 내비게이션 시스템의 단점을 보완하고 보다 안전한 운전을 할 수 있도록 다양한 서비스를 제공하기 위해 연구되고 있다. 실감 내비게이션 시스템 차선인식과 도로시설물 객체 DB, 교차로 인식 모듈등의 기능 블록들로 구성된다. 본 논문에서는 실감내비게이션의 중요 요소 중 하나인 교차로 인식을 위한 신호등과 표지판 인식 시스템을 개발하였다. 개발된 알고리듬은 색상 정보를 이용해 인식 대상을 검출하고 객체의 특징을 이용하여 신호등과 표지판을 객체별로 인식할 수 있도록 하였으며 실험을 통해 검증하였다. 실험결과 신호등의 경우 60-30m의 거리에서 평균90%의 인식률을 보였으며, 표지판의 경우 90-40m의 거리에서 평균 97%의 인식률을 보였고, 프레임 당 평균 처리시간이 46msec로서 실시간 처리가 가능함을 보였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.91.3-91
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• 2001

A sensor fusion scheme for mobile robot environment recognition that incorporates range data and contour data is proposed. Ultrasonic sensor provides coarse spatial description but guarantees open space with no obstacle within sonic cone with relatively high belief. Laser structured light system provides detailed contour description of environment but prone to light noise and is easily affected by surface reflectivity. Overall fusion process is composed of two stages: Noise elimination and belief updates. Dempster Shafer´s evidential reasoning is applied at each stage. Open space estimation from sonar range measurements brings elimination of noisy lines from laser sensor. Comparing actual sonar data to the simulated sonar data enables ...

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.106-109
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• 2003

Many diverse methods have been developing in the field of biometric identification as human-friendliness has been emphasized in the intelligent system's area. One of emerging method is to use human footprint. Automated footprint-based person recognition was started by Nakajima et al.'s research but they showed relatively low recognition result by low spatial resolution of pressure sensor and standing posture. In this paper, we proposed a modified Nakajima's method to use walking footprint which could give more stable toe information than standing posture. Finally, we prove the usefulness of proposed method as 91.4tt recognition rate in 11 volunteers' test.

• 한국주거학회논문집
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• 제13권3호
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• pp.93-101
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• 2002

The goal of this survey is to propose planning and design informations for the public open spaces in apartment housing, through the observation and analysis of the current situations. For this, the planning information of housing suppliers about public open spaces and the spatial utilization of users were compared and by analyzing facility utilization and resident\`s recognition. This study is also intended to guide the future directions of the research for the improvement of public open spaces. The research follows three phases; \circled1 To understand the conditions of public open spaces in apartment housing sites through survey and analysis of catalogues and references. \circled2 To study on facility utilization and resident's recognition by observation and analysis. \circled3 To propose planning guidelines for the improvement of public open space by recognition differences of facilities.

• 한국멀티미디어학회논문지
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• 제8권6호
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• pp.844-855
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• 2005

This paper proposes a human action recognition scheme for Intelligent Web Browser. Based on the principle that a human action can be defined as a combination of multiple articulation movements, the inference of stochastic grammars is applied to recognize each action. Human actions in 3 dimensional (3D) world coordinate are measured, quantized and made into two sets of 4-chain-code for xy and zy projection planes, consequently they are appropriate for applying the stochastic grammar inference method. We confirm this method by experiments, that various physical actions can be classified correctly against a set of real world 3D temporal data. The result revealed a comparatively successful achievement of $93.8\%$ recognition rate through the experiments of 8 movements of human head and $84.9\%$ recognition rate of 60 movements of human upper body. We expect that this scheme can be used for human-machine interaction commands in a web browser.

• Journal of Electrical Engineering and information Science
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• 제3권1호
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• pp.73-79
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• 1998

In this paper, a new traffic sign detection algorithm.. and a symbol recognition algorithm are proposed. For traffic sign detection, a dominant color transform is introduced, which serves as a tool of highlighting a dominant primary color, while discarding the other two primary colors. For symbol recognition, the curvilinear shape distribution on a circle centered on the centroid of symbol, called a circular pattern vector, is used as a spatial feature of symbol. The circular pattern vector is invariant to scaling, translation, and rotation. As simulation results, the effectiveness of traffic sign detection and recognition algorithms are confirmed, and it is shown that group of circular patter vectors based on concentric circles is more effective than circular pattern vector of a single circle for a given equivalent number of elements of vectors.

• 한국소음진동공학회논문집
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• 제18권12호
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• pp.1256-1261
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• 2008

This paper proposes a way to measure the displacement of a multi-point by using a pattern recognition from video signal. Generally in measuring displacement, gab sensor, which is a displacement sensor, is used. However, it is difficult to measure displacement by using a common sensor in places where it is unsuitable to attach a sensor, such as high-temperature areas or radioactive places. In this kind of places, non-contact methods should be used to measure displacement and in this study, images of CCD camera were used. When multi-point is measure by using a pattern recognition, it is possible to measure displacement with a non-contact method. It is simple to install and multi-point displacement measuring device so that it is advantageous to solve problems of spatial constraints.

• 재활복지공학회논문지
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• 제8권2호
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• pp.133-138
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• 2014

본 논문에서는 시공간 실루엣 분석을 사용하여 간단하지만 효율적인 보행 인식 방법을 제안한다. 각각의 이미지 시퀀스에 대해, 먼저 차분 기법과 화소기반 적응분할기법이 보행자의 실루엣을 분할하는데 사용된다. 그 후, 사람을 인식하기 위하여 보행하는 사람의 걸음수와 보폭이 실루엣 영상에서 구해진다. 124개의 객체를 포함하는 CASIA 데이터 집합에서의 실험결과는 제안된 방법의 유효성을 보여준다. 또한, 제안된 시스템은 보행자 인식에 대한 응용을 위해 충분한 적용 가능성이 있을 것으로 판단된다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2001년도 하계종합학술대회 논문집(4)
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• pp.29-32
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• 2001

Visual speech information improves the performance of speech recognition, especially in noisy environment. We have tested the various spatial-temporal features for the Korean lipreading and evaluated the performance by using a hidden Markov model based classifier. The results have shown that the direction as well as the magnitude of the movement of the lip contour over time is useful features for the lipreading.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 A
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• pp.175-178
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• 2003

This paper describes a active audition system for robot-human interface in real environment. We propose a strategy for a robust sound localization and for -talking speech recognition(60-300cm) based on 2-dimensional microphone array. We consider spatial features, the relation of position and interaural time differences, and realize speaker tracking system using fuzzy inference profess based on inference rules generated by its spatial features.