• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.808-810
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• 2018

Pedestrian tracking is a particular problem of object tracking, and an important component in various vision-based applications, such as autonomous cars or surveillance systems. After several years of development, pedestrian tracking in videos is still a challenging problem because of various visual properties of objects and surrounding environment. In this research, we propose a tracking-by-detection system for pedestrian tracking, which incorporates Convolutional Neural Network (CNN) and color information. Pedestrians in video frames are localized by a CNN, then detected pedestrians are assigned to their corresponding tracklets based on similarities in color distributions. The experimental results show that our system was able to overcome various difficulties to produce highly accurate tracking results.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.4B
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• pp.630-636
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• 2010

Ocular inspection in oriental medicine, which identifies sickness by patient's skin color, is usually applied by doctor's subjective judgment. In order to reduce the subjectiveness of diagnosis, we propose a method of objective and quantitative analysis for ocular inspection. The most issued features for ocular inspection are how to identify the color of patients' face in various situations, and how to link the relation between color and sickness. For resolving these two issues, the color system of CIE Lab is adopted for analyzing and classifying the color characteristics. The classification of color features is verified by experiments on groups of patients and non-patients. The results of experiments showed that the proposed method can provide an objective means for ocular inspection using patient's skin color.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.54 no.10
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• pp.604-614
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• 2005

Color segmentation takes great attentions since a color is an effective and robust visual cue for characterizing one object from other objects. Color segmentation is, however, suffered from color variation induced from irregular illumination changes. This paper proposes a reliable color modeling approach in HSI (Hue-Saturation-Intensity) rotor space considering intensity information by adopting B-spline curve fitting to make a mathematical model for statistical characteristics of a color with respect to brightness. It is based on the fact that color distribution of a single-colored object is not invariant with respect to brightness variations even in HS (Hue-Saturation) plane. The proposed approach is applied for the segmentation of human skin areas successfully under various illumination conditions.

• Journal of the Korean housing association
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• v.20 no.3
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• pp.113-121
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• 2009

The purpose of this study is to determine color preferences in housing spaces according to different types of personalities and color preference according to classifying dwellers various characteristics by MBTI to obtain basic information for the color plan that satisfies their desires. The results of this study are as follows. Firstly, in terms of the color distribution of living spaces, for the ceiling and general walls, results showed that N (white) systems and YR of bright tones were mostly distributed. For the color of the floor, results showed that the calm tone of YR was mostly distributed. Secondly, for the favored colors of finishing materials in each space, the greatest distribution of preference color was found to be the N (white) group (series) in the case of ceilings, For general walls, the bright tone of the N (white) group was the most common in living rooms, and the bright tone of RP was used mostly in couples' rooms and girls' rooms. The bright tone of B and PB were found mostly in boys' bedrooms. In the case of the floor color, results showed the largest distribution was the calm tone of YR. For point walls, the preference was for various kinds of bright and brilliant colors. Thirdly, we could determine that extroverts (E) strongly disliked black and grey, while introverts (I) strongly disliked red as well as black and grey. Those who favored colors of closing materials were the sensible types (S) where colors were concentrated in common color groups. On the other hand, intuition types (N) preferred color groups of various kinds, not only the typically preferred colors.

• Journal of Information Processing Systems
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• v.18 no.1
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• pp.59-74
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• 2022

During the last decade, the security of digital images has received considerable attention in various multimedia transmission schemes. However, many current cryptosystems tend to adopt a single-layer permutation or diffusion algorithm, resulting in inadequate security. A hierarchical bilateral diffusion architecture for color image encryption is proposed in response to this issue, based on a hyperchaotic system and DNA sequence operation. Primarily, two hyperchaotic systems are adopted and combined with cipher matrixes generation algorithm to overcome exhaustive attacks. Further, the proposed architecture involves designing pixelpermutation, pixel-diffusion, and DNA (deoxyribonucleic acid) based block-diffusion algorithm, considering system security and transmission efficiency. The pixel-permutation aims to reduce the correlation of adjacent pixels and provide excellent initial conditions for subsequent diffusion procedures, while the diffusion architecture confuses the image matrix in a bilateral direction with ultra-low power consumption. The proposed system achieves preferable number of pixel change rate (NPCR) and unified average changing intensity (UACI) of 99.61% and 33.46%, and a lower encryption time of 3.30 seconds, which performs better than some current image encryption algorithms. The simulated results and security analysis demonstrate that the proposed mechanism can resist various potential attacks with comparatively low computational time consumption.

• Journal of Multimedia Information System
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• v.5 no.1
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• pp.9-14
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• 2018

A road recognition system or Lane departure warning system is an early stage technology that has been commercialized as early as 10 years but can be optional and used as an expensive premium vehicle, with a very small number of users. Since the system installed on a vehicle should not be error prone and operate reliably, the introduction of robust feature extraction and tracking techniques requires the development of algorithms that can provide reliable information. In this paper, we investigate and analyze various real-time road detection algorithms based on color information. Through these analyses, we would like to suggest the algorithms that are actually applicable.

• Journal of the Ergonomics Society of Korea
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• v.36 no.3
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• pp.197-211
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• 2017

Objective: We propose to apply color information to facilitate finding books in the library. Background: Currently, books are classified in the basis of a decimal classification system and a call number in the library. Users find a book using the call number. However, this classification system causes various difficulties. Method: In a process analysis and survey study, we identify what the real problem is and where the problem is occurred. To solve the real problems, we derived a new search method using color information. We conducted a comparative experiment with 48 participants to see whether the new method can show higher performance. Results: The new method using color information showed faster time and higher subjective rating scores than current call number method. Also, the new method showed faster time regardless of the skill level while the call number method showed time differences in terms of the skill level. Conclusion: The effectiveness of the proposed method was verified by experiments. Users will be able to find the desired book without difficulty. This method can improve the quality of service and satisfaction of library use. Application: Our book search method can be applied as a book search tool in a real public library. We hope that the method can provide higher satisfaction to users.

• ETRI Journal
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• v.35 no.6
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• pp.969-979
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• 2013

Various simulation applications for hair, clothing, and makeup of a 3D avatar can provide more useful information to users before they select a hairstyle, clothes, or cosmetics. To enhance their reality, the shapes, textures, and colors of the avatars should be similar to those found in the real world. For a more realistic 3D avatar color reproduction, this paper proposes a spectrum-based color reproduction algorithm and color management process with respect to the implementation of the algorithm. First, a makeup color reproduction model is estimated by analyzing the measured spectral reflectance of the skin samples before and after applying the makeup. To implement the model for a makeup simulation system, the color management process controls all color information of the 3D facial avatar during the 3D scanning, modeling, and rendering stages. During 3D scanning with a multi-camera system, spectrum-based camera calibration and characterization are performed to estimate the spectrum data. During the virtual makeup process, the spectrum data of the 3D facial avatar is modified based on the makeup color reproduction model. Finally, during 3D rendering, the estimated spectrum is converted into RGB data through gamut mapping and display characterization.

• 한국정보디스플레이학회:학술대회논문집
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• 2004.08a
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• pp.3-7
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• 2004

Two different kinds of subjects are discussed. One is " Enhanced color space for displays" and the other one is"An application for large format displays". Originally defined color space by NTSC has never been used widely for TVs and information displays as there have been no available display devices. LCD panels with new light sources for backlighting will provide much wider color space. LCD monitors which use these new panels will meet almost 100% with the color space defined by NTSC or Adobe. Now, It is the time to deploy wider color space defined by such as the NTSC or Adobe as the standard of LCD display panels. As the large format display devices with reasonable price have not been available till plasma panels became available, application of these panels as an information display in public space is a quite new experience for us. Various kinds of practical applications are observed and coming out. It will generate many and new types of businesses.

• Fashion & Textile Research Journal
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• v.9 no.2
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• pp.167-175
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• 2007

Color is infinitely more complex and challenging when the human element is factored in. The nature of fashion presents additional issues that must be addressed, allowing for even greater possibilities. Fashion trends and fashion colors could be used as a starting point for investigating many possible applications in fashion industry. Modern fashion industry received various information from many medias. Fashion trends and fashion colors must be referred to primarily when planning fashion goods among so much information. In this study, changes in fashion trends and fashion colors from 1966 to 1995 were investigated. The results indicated fashion trends and fashion colors were involved with community, culture and economy. Furthermore, important characteristics of fashion trends were summarized. In recent 30 years fashion trends and fashion colors appeared practical fashion and natural color, amenity fashion and mild color. According to the fashion changes in sensitivity, the color change was evaluated. Fashion colors displayed changes from sign effect to symbol effect. Especially black changed from minus image to plus image made it important fashion color.