• Title/Summary/Keyword: Various color information

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Histogram-Based Singular Value Decomposition for Object Identification and Tracking (객체 식별 및 추적을 위한 히스토그램 기반 특이값 분해)

  • Ye-yeon Kang;Jeong-Min Park;HoonJoon Kouh;Kyungyong Chung
    • Journal of Internet Computing and Services
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    • v.24 no.5
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    • pp.29-35
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    • 2023
  • CCTV is used for various purposes such as crime prevention, public safety reinforcement, and traffic management. However, as the range and resolution of the camera improve, there is a risk of exposing personal information in the video. Therefore, there is a need for new technologies that can identify individuals while protecting personal information in images. In this paper, we propose histogram-based singular value decomposition for object identification and tracking. The proposed method distinguishes different objects present in the image using color information of the object. For object recognition, YOLO and DeepSORT are used to detect and extract people present in the image. Color values are extracted with a black-and-white histogram using location information of the detected person. Singular value decomposition is used to extract and use only meaningful information among the extracted color values. When using singular value decomposition, the accuracy of object color extraction is increased by using the average of the upper singular value in the result. Color information extracted using singular value decomposition is compared with colors present in other images, and the same person present in different images is detected. Euclidean distance is used for color information comparison, and Top-N is used for accuracy evaluation. As a result of the evaluation, when detecting the same person using a black-and-white histogram and singular value decomposition, it recorded a maximum of 100% to a minimum of 74%.

License-Plate Extraction for Parking Regulation Images with Various Background and Photographing Direction (다양한 배경과 촬영 방향에서 취득한 주차 단속 영상에서의 번호판 추출)

  • 권숙연;김영원;전병환
    • Proceedings of the IEEK Conference
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    • 2003.07d
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    • pp.1291-1294
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    • 2003
  • This paper presents an approach to extract license plates from parking regulation images which is captured in various photographing direction and complex background. first, we search each row at regular intervals starting from the bottom of a license-plate image, and we set up a rough region for a certain zone in which the sign of intensity vector changes frequently enough and color of license plate is detected enough, assuming it as a candidate location of a license plate. And then, we extract an elaborate area of a license plate by horizontally and vertically projecting vertical edges. Here, tar types of the private and the public, are easily classified according to the color of extracted plates. To evaluate proposed method, we used 200 actual regulation images. As a result, the proposed method showed extraction rate of 96%, which is 9% higher than the previous method using only intensity vector.

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Content-based Image Retrieval Using Color Adjacency and Gradient (칼라 인접성과 기울기를 이용한 내용 기반 영상 검색)

  • Jin, Hong-Yan;Lee, Ho-Young;Kim, Hee-Soo;Kim, Gi-Seok;Ha, Yeong-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.1
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    • pp.104-115
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    • 2001
  • A new content-based color image retrieval method integrating the features of the color adjacency and the gradient is proposed in this paper. As the most used feature of color image, color histogram has its own advantages that it is invariant to the changes in viewpoint and the rotation of the image etc., and the computation of the feature is simple and fast. However, it is difficult to distinguish those different images having similar color distributions using histogram-based image retrieval, because the color histogram is generated on uniformly quantized colors and the histogram itself contains no spatial information. And another shortcoming of the histogram-based image retrieval is the storage of the features is usually very large. In order to prevent the above drawbacks, the gradient that is the largest color difference of neighboring pixels is calculated in the proposed method instead of the uniform quantization which is commonly used at most histogram-based methods. And the color adjacency information which indicates major color composition feature of an image is extracted and represented as a binary form to reduce the amount of feature storage. The two features are integrated to allow the retrieval more robust to the changes of various external conditions.

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Presentation control of a computer using hand motion identification rules (손동작 식별 규칙을 이용한 컴퓨터의 프레젠테이션 제어)

  • Lee, Kyu-Won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.9
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    • pp.1172-1178
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    • 2018
  • A system that control computer presentations by using the hand motion recognition and identification is proposed. The system recognizes and identifies various types of motion in hand motion, controlls the presentation without additional control devices. To recognize hand movements, it performs a face and hand region detection. Facial area is detected using Haar classifier and hand region is extracted according to skin color information on HSV color model. The face area is used to determine the beginning and end of hand gestures, the size and direction of motion. It recognizes various hand gestures and uses them to control computer presentations according to the hand motion identification rules that are proposed and set horizontal and vertical axes from the face area. It is confirmed that 97.2% recognition rate is obtained in about 1200 hand motion recognition experiments and the proposed algorithm is valid in presentation control.

An Advanced Color Watermarking Technique using Various Spatial Encryption Techniques (다양한 공간적 암호화 기법을 적용한 개선된 컬러 영상 워터마킹 기법)

  • Jung, Soo-Mok
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.13 no.3
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    • pp.262-266
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    • 2020
  • In this paper, we proposed an effective technique for hiding the watermark in the LSB of a color image by applying spatial encryption techniques. Even if the watermark hidden in the LSB of the image is extracted, the information of the extracted watermark cannot be decrypted because the watermark is encrypted using various spatial encryption techniques. Therefore, if the watermark is concealed in the LSB using the spatial encryption techniques proposed in this paper, the security is greatly improved compared to the existing technique of embedding the watermark in the LSB. When watermarking is performed by applying the proposed technique, the image quality of the watermark-concealed image is very good, so it is impossible to distinguish it from the original image, and the watermark, which is confidential data, can be extracted from the watermarked image without loss. The performance of the proposed technique was mathematically analyzed and the superiority of the proposed technique was confirmed through experiments. When the watermark was concealed by applying the proposed technique to Lenna, airplane, Tiffany, and pepper images having a size of 512×512, the PSNR values of the watermarked images were 53.91dB, 54.10dB, 54.09dB, and 54.13dB, respectively.

Performance Comparison of Skin Color Detection Algorithms by the Changes of Backgrounds (배경의 변화에 따른 피부색상 검출 알고리즘의 성능 비교)

  • Jang, Seok-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.3
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    • pp.27-35
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    • 2010
  • Accurately extracting skin color regions is very important in various areas such as face recognition and tracking, facial expression recognition, adult image identification, health-care, and so forth. In this paper, we evaluate the performances of several skin color detection algorithms in indoor environments by changing the distance between the camera and the object as well as the background colors of the object. The distance is from 60cm to 120cm and the background colors are white, black, orange, pink, and yellow, respectively. The algorithms that we use for the performance evaluation are Peer algorithm, NNYUV, NNHSV, LutYUV, and Kimset algorithm. The experimental results show that NNHSV, NNYUV and LutYUV algorithm are stable, but the other algorithms are somewhat sensitive to the changes of backgrounds. As a result, we expect that the comparative experimental results of this paper will be used very effectively when developing a new skin color extraction algorithm which are very robust to dynamic real environments.

Using Analysis of Major Color Component facial region detection algorithm for real-time image (동영상에서 얼굴의 주색상 밝기 분포를 이용한 실시간 얼굴영역 검출기법)

  • Choi, Mi-Young;Kim, Gye-Young;Choi, Hyung-Il
    • Journal of Digital Contents Society
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    • v.8 no.3
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    • pp.329-339
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    • 2007
  • In this paper we present a facial region detection algorithm for real-time image with complex background and various illumination using spatial and temporal methods. For Detecting Human region It used summation of Edge-Difference Image between continuous image sequences. Then, Detected facial candidate region is vertically divided two objected. Non facial region is reduced using Analysis of Major Color Component. Non facial region has not available Major Color Component. And then, Background is reduced using boundary information. Finally, The Facial region is detected through horizontal, vertical projection of Images. The experiments show that the proposed algorithm can detect robustly facial region with complex background various illumination images.

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Case Study for Application of the Interior Color Environment to the Office Space (사무공간 실내 색채 환경 적용 사례 연구)

  • Suh, Seung-Ha
    • Proceedings of the Korean Institute of Interior Design Conference
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    • 2006.05a
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    • pp.67-70
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    • 2006
  • In modern society industrial structure is being altered in complex and various way owing to rapid technical development and economic development, and concerns and recognition for surrounding environment is being moth heightened. For this reason, modern people requite the environment which can be applied in more pleasant and convenient way, and in order to satisfy such requirements, importance of the interior design mote vividly stands out, and concerns or the society for the design is being more Heightened these days. Especially, as for the design of the office space, the study transforming the office, which is the rendezvous of the information, into the business environment with more comfortable and sensitivity, being free rrom the design concentrated on the business efficiency and economic feasibility, has been actively proceeded. As it is the reality that various and new types of the business spaces have appeared, new office landscape design is requited as the device to solve the matter related to the society change. It is purposed to propose the office space which is comfortable together with flowing sensitivity by applying the color plan that unconsciously controls the human sense through remodeling of mid size of the office space.

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Quantitative analysis of rutin content using silkworm genetic resources

  • Ju, Wan-Taek;Kim, Kee-Young;Sung, Gyoo-Byung;Kim, Yong-Soon
    • International Journal of Industrial Entomology and Biomaterials
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    • v.31 no.2
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    • pp.56-61
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    • 2015
  • Rutin is an important bioflavonoid that is consumed in the daily diet. This study compared the functional components of rutin from various silkworm species using a gene database with those of rutin produced by silkworms selectively bred through cross-combinations. We made comparisons between the geographical origin and species of silkworm using a gene database and discovered that rutin activity was ranked in the following order by species, Chinese (C5)> miscellaneous varieties (Jamsaeng 1 Ho) >Japanese (Jam 115) > European (E58) >Korean (Sun 3 ho). However, rutin levels with respect to various genetic traits (blood color, silk color, and egg color) were consistent. In order to study rutin changes that occurred during the cross breeding of the silkworm gene, we bred cross-combinations utilizing Jam 115 and the 4051 silkworms. In conclusion, in order to provide information about the constituents of functional materials contained in silkworm powder, it is imperative that silkworm cross breeding occurs so that the database of functional materials extracted from silkworms will expand.

Quantitative Analysis of 1-Deoxynojirimycin Content Using Silkworm Genetic Resources

  • Ju, Wan-Taek;Kim, Kee-Young;Sung, Gyoo-Byung;Kim, Yong-Soon
    • International Journal of Industrial Entomology and Biomaterials
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    • v.29 no.2
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    • pp.162-168
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    • 2014
  • 1-Deoxynojirimycin(1-DNJ or DNJ), a component in silkworm powder, prevents glucose from being absorbed into the bloodstream from the small intestine by inhibiting ${\alpha}$-glucosidase activity. This study compared the functional components of 1-DNJ from various silkworm species using a gene database with those of 1-DNJ produced by silkworms bred through cross-combinations. We utilized comparisons of geographical origins and species of silkworms using a gene database and discovered that 1-DNJ activity was ranked in the following order by species, Japanese (SK-1) > Chinese (C48) > European (Rock191). 1-DNJ constituted varying percentages of silkworm organs in the following order, blood > epithelial tissue > body fat > silk glands. With regard to sex, 1-DNJ, levels were higher in males than females. However, 1-DNJ levels with respect to various genetic traits (blood color, silk color, and egg color) were consistent. In order to study 1-DNJ changes that occurred during cross breeding of the silkworm gene, we bred cross-combinations utilizing SK-1 and C48 silkworms. In conclusion, in order to provide information about the constituents of functional materials contained in silkworm powder, it is imperative that silkworm cross breeding occurs so that the database of functional materials extracted from silkworms will expand.