• 한국인터넷방송통신학회논문지
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• 제17권5호
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• pp.143-150
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• 2017

본 논문에서는 스마트 폰 추적 및 색상 통신을 이용한 새로운 동작인식 플랫폼을 개발한다. 카메라가 탑재된 PC 혹은 스마트 TV와 개인 스마트 폰 가지고 영상을 기반으로 한 객체 인식 기술을 이용하여 동작 인식 유저 인터페이스를 제공한다. 사용자는 손으로 스마트 폰을 움직여 모션 컨트롤러처럼 사용할 수 있으며, 플랫폼에서는 이 스마트폰을 실시간으로 검출하고, 3차원 거리와 각도를 추정하여 사용자의 동작을 인식한다. 또한, 스마트 폰과 서버의 통신을 위하여 색상 디지털 코드를 이용한 통신 시스템이 사용된다. 사용자들은 색상 통신 방법을 이용하여 텍스트 데이터를 자유자재로 주고받을 수 있으며, 동작을 취하는 도중에도 끊임없이 데이터를 전송할 수 있다. 제안한 동작인식 플랫폼 기반의 실행 가능한 콘텐츠를 구현하여 결과를 제시한다.

• 만화애니메이션 연구
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• 통권39호
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• pp.393-412
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• 2015

사람의 이미지를 보고 느끼는 감성인식은 환경, 개인적 성향에 따라 다양하게 변화한다. 그리하여 이미지 감성인식을 숫자로 제어하려는 감성컴퓨터 연구에 집중되고 있다. 그렇지만 기존의 감성컴퓨팅 모형은 숫자화된 객관적이고, 명확한 측정이 미흡한 상황이다. 따라서 이미지 감성인식을 감성컴퓨팅을 통해 정량화하고, 객관적인 평가 방식의 연구가 필요한 상황이다. 이에 본 논문은 이미지 감성인식을 계산 방식에 따라 숫자화한 정량화로 감성크기를 표현했다. 그리하여 이미지 감성인식의 주요한 속성인 색채를 구성인자로 적용한다. 또한 디지털 색채 감성컴퓨팅을 적용하여 계산하는데 연구의 중점을 두었다. 이미지 색채 감성컴퓨팅 연구방식은 감성속성인 색상, 명도, 채도에 중요도에 따른 가중치를 감성점수에 반영한다. 그리고 감성점수를 이미지 감성계산식에 적용하여 쾌정도(X축), 긴장도(Y축)를 숫자 방식으로 계산한다. 거기에 쾌정도(X축), 긴장도(Y축)의 교차하는 위치점을 이미지 감성좌표의 감성점으로 위치한다. 이미지 색채 감성좌표는 러셀의 핵심 효과(Core Affect)를 적용하여 16가지 주요대표감성을 기반으로 한다. 이미지 감성점은 기준의 위치에서 대표감성크기와 감성상관관계를 숫자화하고, 이미지 감성을 정량화한다. 그리하여 이미지 감성인식은 숫자 크기로 비교한다. 감성점수의 대소에 따라 감성이 변화함을 증명한다. 비교 방식은 이미지 감성인식을 16개 대표감성과 연관된 감성의 상위 5위로 구분하고, 집중된 대표감성크기를 비교 분석한다. 향후 감성컴퓨팅 방식이 사람의 감성인식과 더 유사할 수 있도록 감성계산식의 연구가 필요하다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1995년도 Proceedings of the Korea Automation Control Conference, 10th (KACC); Seoul, Korea; 23-25 Oct. 1995
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• pp.303-306
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• 1995

The present paper deals with extraction of figures and characters from their background using the knowledge of color. At each pixel of the image on the CRT sent from a video camera, RGB values are transformed into the values in another color system, HSI, where "H" denotes hue;"S" denotes saturation;"I" denotes intensity. Representing color in HSI color space is advantageous, since a human feels color mainly in hue with the aid of brightness and purity. Comparing HSI data thus obtained with the masked original image detects noise-free edges included in the orginal image. Then setting a set of HSI thresholds and changing it identifies the portion of image of the same color. This color information is used in recongnizing characters and figures as an auxiliary system of a hierachical figure categorization method for characters and figures recognition.cters and figures recognition.

• 한국의류산업학회지
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• 제4권4호
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• pp.369-375
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• 2002

The present study attempts to examine the degree of recognition of the Personal Colors by the age of the woman, and to analyze the influence of the recognition on the factors for choosing specific colors for hair coloring and facial make-up and the consequent satisfaction. The data will be used as a basic material for research and marketing in the field of color consulting in the beauty industry. Collected data were statistically processed using the SPSS WIN program. Depending on the nature of the contents to be analyzed, either the percentage calculation or the Chi-square analysis or the ANOVA was carried out. The findings of the study are as follows; The overall recognition of the Personal Colors was generally low in terms of the knowledge, information and experiences. While the degree of recognition was the highest in teenagers, the necessity of diagnosing the Personal Colors was most deeply perceived by the women in their 30s. One of the factors for choosing a specific color for hair coloring was their favorite color for the teenagers, and the Personal Color or the advice of the professional for the women in their 30s. Meanwhile, the highest factor for those in their 20s was the colors in vogue. For the facial color make-up as well, this sensitivity to popular colors was also highest in the twenty-something women. The color choice in consideration of favorite colors and the Personal Colors was the most prominent in the teenagers. The tendency of utilizing the advice of sales people or the professionals was the highest in the women in their 30s. In the survey of satisfaction with the chosen colors for hair coloring and make-up, it was found that satisfaction was the highest in the cases of choosing the Personal Colors in all the age groups, while it was the lowest for the choice of popular colors.

• 한국융합학회논문지
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• 제9권12호
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• pp.381-391
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• 2018

본 연구의 목적은 피트니스 센터 이용자의 운동참여유형에 따른 감성조명의 인식을 살펴보는데 있다. 연구목적을 달성하기 위한 연구대상은 경인지역 피트니스 센터 이용객 292명을 대상으로 설문조사를 실시하였다. 조사도구로 색채유형은 오세민과 곽영신(2015)의 연구에서 사용한 색채계열을 사용하였으며, 색채 인식은 이복신(1997)의 연구에서 사용한 감성 형용사 척도를 사용하였다. 자료처리는 SPSS23.0을 이용하여 교차분석과 독립 t검증, 일원변량분석을 실시하였다. 이에 본 연구를 통해 도출된 결과를 통해 다음과 같은 결론을 얻었다. 첫째, 피트니스 이용자의 감성조명 색채선호도는 성별에 따라 차이가 있다. 둘째, 피트니스 이용자의 감성조명 색채별 인식의 차이는 성별, 연령에서 색채별 부분적 차이가 있는 것으로 나타났다. 또한, 피트니스 이용자의 운동참여유형에 따른 감성조명 색채 인식의 차이에서도 각 색채별 차이가 있는 것으로 나타났다.

• 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.

• 한국멀티미디어학회논문지
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• 제19권4호
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• pp.681-688
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• 2016

In the intelligent video surveillance, recognizing the moving objects is important issue. However, the conventional moving object recognition methods have some problems, that is, the influence of light, the distinguishing between similar colors, and so on. The recognition methods for the moving objects using depth information have been also studied, but these methods have limit of accuracy because the depth camera cannot measure the depth value accurately. In this paper, we propose a recognition method for the moving objects by using both the depth and the color information. The depth information is used for extracting areas of moving object and then the color information for correcting the extracted areas. Through tests with typical videos including moving objects, we confirmed that the proposed method could extract areas of moving objects more accurately than a method using only one of two information. The proposed method can be not only used in CCTV field, but also used in other fields of recognizing moving objects.

• 로봇학회논문지
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• 제8권2호
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• pp.82-91
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• 2013

This paper proposes a building recognition algorithm using watershed image segmentation algorithm and integrated region matching (IRM). To recognize a building, a preprocessing algorithm which is using Gaussian filter to remove noise and using canny edge extraction algorithm to extract edges is applied to input building image. First, images are segmented by watershed algorithm. Next, a region adjacency graph (RAG) based on the information of segmented regions is created. And then similar and small regions are merged. Second, a color distribution feature of each region is extracted. Finally, similar building images are obtained and ranked. The building recognition algorithm was evaluated by experiment. It is verified that the result from the proposed method is superior to color histogram matching based results.

• Journal of Biosystems Engineering
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• 제26권3호
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• pp.253-262
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• 2001

This study was conducted to develop the vision system of a robotic transplanter for plug-seedling. A color image processing algorithm was developed to identify and locate empty cells and bad plants in the seedling tray. The image of pepper and tomato seedling tray was segmented into regions of plants, frame and soil using threshold technique which utilized Q of YIQ for finding leaves and H of HSI for finding frame of tray in the color coordinate system. The recognition system was able to successfully identify empty cells and bad seeding and locate their two-dimensional locations. The overall success rate of the recognition system was about 99%.

• 제어로봇시스템학회논문지
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• 제15권4호
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• pp.445-450
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• 2009

This paper presents a new mobile robot localization method for indoor robot navigation. The method uses hexagon distributed color-coded patches on the ceiling and a camera is installed on the robot facing the ceiling to recognize these patches. The proposed "cell-coded map", with the use of only seven different kinds of color-coded landmarks distributed in hexagonal way, helps reduce the complexity of the landmark structure and the error of landmark recognition. This technique is applicable for navigation in an unlimited size of indoor space. The structure of the landmarks and the recognition method are introduced. And 2 rigid rules are also used to ensure the correctness of the recognition. Experimental results prove that the method is useful.