• 대한물리의학회지
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• 제6권4호
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• pp.391-396
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• 2011

Purpose : The Purpose of this study is to investigate the values of foot pressure during gait cycle according to adaptation and sudden remove of various color information. Methods : Participants who met the criteria for this study (n=13). RS-Scan was used to measure plantar foot pressur according to Five kinds of color information in this study. Results : The adaptation of various color information is no statistically significant on all area. But sudden remove of various color information is statistically significant on T2-5, M5 and MF area. Conclusion : The results of this study suggest that sudden remove of various color information reduces the ability of balance during gait in normal adults. And these results means that increase risk of falling down according to sudden remove of various color information.

• 한국컴퓨터정보학회논문지
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• 제22권5호
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• pp.21-28
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• 2017

As technology related to digital imaging equipment is developed and generalized, digital imaging system is used for various purposes in fields of society. The object tracking technology from digital image data in real time is one of the core technologies required in various fields such as security system and robot system. Among the existing object tracking technologies, cam shift technology is a technique of tracking an object using color information of an object. Recently, digital image data using infrared camera functions are widely used due to various demands of digital image equipment. However, the existing cam shift method can not track objects in image data without color information. Our proposed tracking algorithm tracks the object by analyzing the color if valid color information exists in the digital image data, otherwise it generates the lightness feature information and tracks the object through it. The brightness feature information is generated from the ratio information of the width and the height of the area divided by the brightness. Experimental results shows that our tracking algorithm can track objects in real time not only in general image data including color information but also in image data captured by an infrared camera.

• 한국컴퓨터정보학회논문지
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• 제22권6호
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• pp.131-140
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• 2017

As video equipments such as CCTV are used for various purposes in fields of society, digital video data processing technology such as automatic motion detection is essential. In this paper, we proposed and implemented a more stable and accurate motion detection system based on background subtraction technique. We could improve the accuracy and stability of motion detection over existing methods by efficiently processing color information of digital image data. We divided the procedure of color information processing into each components of color information : brightness component, color component of color information and merge them. We can process each component's characteristics with maximum consideration. Our color information processing provides more efficient color information in motion detection than the existing methods. We improved the success rate of motion detection by our background update process that analyzed the characteristics of the moving background in the natural environment and reflected it to the background image.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2011년도 추계학술발표대회
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• pp.347-350
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• 2011

This paper propose a statistical color model of background extraction base on Hue-Saturation-Value(HSV) color space, instead of the traditional RGB space, and shows that it provides a better use of the color information. HSV color space corresponds closely to the human perception of color and it has revealed more accuracy to distinguish shadows [3] [4]. The key feature of this segmentation method is based on processing hue component of color in HSV color space on image area. The HSV color model is used, its color components are efficiently analyzed and treated separately so that the proposed algorithm can adapt to different environmental illumination condition and shadows. Polar and linear statistical operations are used to calculate the background from the video frames. The experimental results show that the proposed background subtraction method can automatically segment video objects robustly and accurately in various illuminating and shadow environments.

• International journal of advanced smart convergence
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• 제8권4호
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• pp.82-92
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• 2019

The appropriate use of color and light can increase psychological stress or feelings of mental stability. As such, many people currently use color therapy, which provides relaxation and stability through color stimulation. Many people currently use color therapy, which provides relaxation and stability through color stimulation. The smartphone-based psychological color therapy system that is to be developed through the study is a method for relieving stress. This study examines a method of using smartphones to understand user's emotional information such as types of stress and to provide color therapy information regarding these emotions. The goal of this study is to use the user's smart phone to provide color therapy that employs the user's emotional information. The intelligent emotion system, which uses platforms such as mobile devices and the PC, was designed considering the user's context, and it provides the user with various data formats such as images, video, text, audio, to send results to the user. The system was developed in the form of a service-based mobile application. The study designed an emotional color therapy system that uses a smartphone to measure the user's stress and provides appropriate color therapy.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2009년도 학술대회
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• pp.1150-1155
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• 2009

정보화 사회에서 정보의 양은 기술의 발달로 급격하게 증가하고 있다. 그로 인해 정보의 다양화와 복잡성 또한 증가하여 빠른 정보처리에 어려움을 주고 있다. 정보의 복잡성 속에 정보의 구조화, 범주화는 사용자가 쉽게 정보에 접근할 수 있게 만들며 처리 속도도 빠르게 해 준다. 본 연구는 정보의 범주화에서 색을 통한 범주화가 정보처리 속도 향상에 어떠한 영향을 주는지를 실험적으로 확인해 보려 한다. 실험 1은 복잡한 정보를 가진 노선도에서 역을 찾는 과제를 시행 하였을 때, target 역 이름의 색과 노선의 색이 동일 할 때 그렇지 않는 경우 보다 탐색시간을 빠름을 보여주고자 한다. 그리고 실험2는 단어 분류 과제에서 색의 범주화가 단어의미 범주화 보다 빨리 처리되며, 색의 대비가 클 때 더 효과적임을 보여 주고자 한다.

• 한국실내디자인학회논문집
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• 제20권4호
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• pp.155-162
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• 2011

In order to pursue the traces of truth, boundaries set by man for convenience were crossed or Integrated leading to the discovery of new paradigms. Such phenomena including collaboration, convergence, crossover and etc. are expressed in various forms across the society and culture. In particular, development of digital technology is moving away from its previous color based on scientific, statistical and quantitative perspective by using diverse variables. Also, as the borderlines of genres become increasingly more ambiguous, various concepts of color blending developed rapidly. Thus These chaosmos-like color blending have created new contents. This research aims to understand the principle of color blending in Karim Rashid's work, which advocates the world of design in diverse fields from industrial products to architecture. The principle of color blending such as information change, source color and destination color, interaction, and etc. makes it possible to extract the expressed element and method of color blending. Meanwhile, the features of color blending such as integrated space and time, vague form, and narrative genre can be inferred from case analysis.

• Journal of Information Processing Systems
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• 제15권4호
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• pp.1017-1028
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• 2019

Pedestrian tracking is a particular object tracking problem and an important component in various vision-based applications, such as autonomous cars and surveillance systems. Following several years of development, pedestrian tracking in videos remains challenging, owing to the diversity of object appearances and surrounding environments. In this research, we proposed a tracking-by-detection system for pedestrian tracking, which incorporates a convolutional neural network (CNN) and color information. Pedestrians in video frames are localized using a CNN-based algorithm, and then detected pedestrians are assigned to their corresponding tracklets based on similarities between color distributions. The experimental results show that our system is able to overcome various difficulties to produce highly accurate tracking results.

• 정보처리학회논문지B
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• 제13B권3호
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• pp.205-214
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• 2006

이미지에 포함된 텍스트는 이미지의 내용을 함축적이고 구체적으로 표현하는 정보로서 이러한 정보를 실시간에 찾아내서 인식한다면 다양한 응용에 활용할 수 있다. 본 논문에서는 카메라로 취득한 다양한 종류의 이미지로부터 텍스트를 추출하는 방법과 추출된 영역에서 텍스트를 분리하는 방법을 새롭게 제안한다. 텍스트 영역 추출을 위해서 RGB 색 공간에서 색 분산을 특징으로 제안하며, 텍스트 영역 분리를 위해서 RGB 색 공간에서 개선된 K-means 병합을 제안한다. 실험은 디지털 카메라와 핸드폰 카메라로 취득한 다양한 종류의 문서유형 이미지와 실내외의 일반적인 자연이미지를 사용하였으며, ICDAR 콘테스트[1] 이미지의 일부도 사용하였다.

• 한국인쇄학회지
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• 제16권3호
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• pp.97-108
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• 1998

Spectral reflectance of the object should be measured to predict the color of object under various illuminants. The spectral reflectance can be represented in a multi-dimension space. Generally the information of inputed image by digital camera and color scanner is represented with 3-dimension color signals such as RGB. In other to predict the color of inputed image under any illuminant, we should be estimated spectral reflectance of the object. In this paper, we described the method to predict spectral reflectance by einenvector using the skin color of printed image, confirmed availability and propriety through experiment. we estimated spectral reflectance of skin color taken by RGB color signals and than reproduced skin color according to various illuminants on CRT.