• Title/Summary/Keyword: hidden image

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Development of a Vision Based Fall Detection System For Healthcare (헬스케어를 위한 영상기반 기절동작 인식시스템 개발)

  • So, In-Mi;Kang, Sun-Kyung;Kim, Young-Un;Lee, Chi-Geun;Jung, Sung-Tae
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.6 s.44
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    • pp.279-287
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    • 2006
  • This paper proposes a method to detect fall action by using stereo images to recognize emergency situation. It uses 3D information to extract the visual information for learning and testing. It uses HMM(Hidden Markov Model) as a recognition algorithm. The proposed system extracts background images from two camera images. It extracts a moving object from input video sequence by using the difference between input image and background image. After that, it finds the bounding rectangle of the moving object and extracts 3D information by using calibration data of the two cameras. We experimented to the recognition rate of fall action with the variation of rectangle width and height and that of 3D location of the rectangle center point. Experimental results show that the variation of 3D location of the center point achieves the higher recognition rate than the variation of width and height.

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Hand gesture based a pet robot control (손 제스처 기반의 애완용 로봇 제어)

  • Park, Se-Hyun;Kim, Tae-Ui;Kwon, Kyung-Su
    • Journal of Korea Society of Industrial Information Systems
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    • v.13 no.4
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    • pp.145-154
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    • 2008
  • In this paper, we propose the pet robot control system using hand gesture recognition in image sequences acquired from a camera affixed to the pet robot. The proposed system consists of 4 steps; hand detection, feature extraction, gesture recognition and robot control. The hand region is first detected from the input images using the skin color model in HSI color space and connected component analysis. Next, the hand shape and motion features from the image sequences are extracted. Then we consider the hand shape for classification of meaning gestures. Thereafter the hand gesture is recognized by using HMMs (hidden markov models) which have the input as the quantized symbol sequence by the hand motion. Finally the pet robot is controlled by a order corresponding to the recognized hand gesture. We defined four commands of sit down, stand up, lie flat and shake hands for control of pet robot. And we show that user is able to control of pet robot through proposed system in the experiment.

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Development of a Lipsync Algorithm Based on Audio-visual Corpus (시청각 코퍼스 기반의 립싱크 알고리듬 개발)

  • 김진영;하영민;이화숙
    • The Journal of the Acoustical Society of Korea
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    • v.20 no.3
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    • pp.63-69
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    • 2001
  • A corpus-based lip sync algorithm for synthesizing natural face animation is proposed in this paper. To get the lip parameters, some marks were attached some marks to the speaker's face, and the marks' positions were extracted with some Image processing methods. Also, the spoken utterances were labeled with HTK and prosodic information (duration, pitch and intensity) were analyzed. An audio-visual corpus was constructed by combining the speech and image information. The basic unit used in our approach is syllable unit. Based on this Audio-visual corpus, lip information represented by mark's positions was synthesized. That is. the best syllable units are selected from the audio-visual corpus and each visual information of selected syllable units are concatenated. There are two processes to obtain the best units. One is to select the N-best candidates for each syllable. The other is to select the best smooth unit sequences, which is done by Viterbi decoding algorithm. For these process, the two distance proposed between syllable units. They are a phonetic environment distance measure and a prosody distance measure. Computer simulation results showed that our proposed algorithm had good performances. Especially, it was shown that pitch and intensity information is also important as like duration information in lip sync.

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An Extraction Method of Meaningful Hand Gesture for a Robot Control (로봇 제어를 위한 의미 있는 손동작 추출 방법)

  • Kim, Aram;Rhee, Sang-Yong
    • Journal of the Korean Institute of Intelligent Systems
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    • v.27 no.2
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    • pp.126-131
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    • 2017
  • In this paper, we propose a method to extract meaningful motion among various kinds of hand gestures on giving commands to robots using hand gestures. On giving a command to the robot, the hand gestures of people can be divided into a preparation one, a main one, and a finishing one. The main motion is a meaningful one for transmitting a command to the robot in this process, and the other operation is a meaningless auxiliary operation to do the main motion. Therefore, it is necessary to extract only the main motion from the continuous hand gestures. In addition, people can move their hands unconsciously. These actions must also be judged by the robot with meaningless ones. In this study, we extract human skeleton data from a depth image obtained by using a Kinect v2 sensor and extract location data of hands data from them. By using the Kalman filter, we track the location of the hand and distinguish whether hand motion is meaningful or meaningless to recognize the hand gesture by using the hidden markov model.

The Font Recognition of Printed Hangul Documents (인쇄된 한글 문서의 폰트 인식)

  • Park, Moon-Ho;Shon, Young-Woo;Kim, Seok-Tae;Namkung, Jae-Chan
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.8
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    • pp.2017-2024
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    • 1997
  • The main focus of this paper is the recognition of printed Hangul documents in terms of typeface, character size and character slope for IICS(Intelligent Image Communication System). The fixed-size blocks extracted from documents are analyzed in frequency domain for the typeface classification. The vertical pixel counts and projection profile of bounding box are used for the character size classification and the character slope classification, respectively. The MLP with variable hidden nodes and error back-propagation algorithm is used as typeface classifier, and Mahalanobis distance is used to classify the character size and slope. The experimental results demonstrated the usefulness of proposed system with the mean rate of 95.19% in typeface classification. 97.34% in character size classification, and 89.09% in character slope classification.

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A Robust Watermarking Algorithm using Wavelet for Biometric Information (웨이블렛을 이용한 생체정보의 강인한 워터마킹 알고리즘)

  • Lee, Wook-Jae;Lee, Dae-Jong;Moon, Ki-Young;Chun, Myung-Geun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.5
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    • pp.632-639
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    • 2007
  • This paper presents a wavelet-based watermarking algorithm to securely hide biometric features such as face and fingerprint and effectively extract them with less distortion of the concealed data. To hide the biometric features, we proposed a determination method of insert location based on wavelet transform and adaptive weight method according to the image characteristics. The hidden features are effectively extracted by applying the inverse wavelet transform to the watermarked image. To show the effectiveness, we analyze the various performance such as PSNR and correlation of watermark features before and after applying watermarking. Also, we evaluate the effect of watermaking algorithm with respect to biometric system such as recognition rate. Recognition rate shows 98.67% for multimodal biometric systems consisted of face and fingerprint. From these, we confirm that the proposed method makes it possible to effectively hide and extract the biometric features without lowering recognition rate.

From Island to Ecotone: Nature Recognition as Boundary Crossed and Ecocritical Implication (섬에서 에코톤으로-경계중첩지대로서의 자연인식과 생태비평적 함의)

  • Shin, Dooho
    • Journal of English Language & Literature
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    • v.57 no.2
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    • pp.237-264
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    • 2011
  • Based on its geophysical feature, the island has long been recognized as a separate and self-sustaining space independent of neighboring continent or other islands. Literary tradition has used the island as a metaphor for a utopian alternative to mundane human society with its various kinds of wrongdoings. Recent nature writings have taken up this island metaphor to emphasize the wholeness of the ecosystem in specifically designated natural community or landscapes such as national parks or wilderness preservation areas. Human-nature relations as border-divided area is also recognized as the island. Modern island biogeography, however, has disproved such a concept of islands as autonomous, revealing the contrasting fact that the richness of species on an undisturbed island is determined largely by species immigration from and emigration to a source of colonists. This scientific finding has posited the island as the interconnected nature, but the public and metaphoric use of it still resorts to the old concept of it as isolated and autonomous nature, because this image has been ingrained deeply in our consciousness and culture. Considering the negative consequences from the recognition of nature and nature-humans as isolated space, we need a new nature metaphor that embodies interconnectedness in nature and of human-nature relations. Such feature of interconnectedness is best embedded in the concept of ecotone. Some ecotones are created and maintained through human participation in nature, and this human induced nature of ecotone denotes the possibilities of a constructive relation between them. The substitution of the island with the ecotone as the concept of nature and the image of human-nature relations is expected to correct ecocritical practices of reading of nature writing, which has been predominantly interpreted within the orientation of nature itself and nature-human relations as an isolated and self-autonomous island. Adopting the ecotone in literary study enables ecocriticism to dig out cultural elements embedded in nature writing and reveal socio-political, ideological factors hidden behind the writers' portrayal of nature as islands.

A Study on Carousel Design UX (캐러셀 디자인의 UX 연구)

  • Lee, Young-Ju
    • Journal of Digital Convergence
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    • v.18 no.12
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    • pp.571-576
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    • 2020
  • When a user visits a specific site through various devices, the hero image located in the main area that can be viewed without scrolling includes multiple slides and has various carousel navigation patterns. While there is a negative perception that the carousel design does not receive the user's choice due to the hidden slide, it can be seen that its usefulness can vary depending on the user's context. In addition, the navigation pattern of the carousel design is the factor that has the greatest influence on the user experience. The left and right arrow navigation pattern, the bottom pagination navigation pattern, the accordion type navigation pattern, the thumbnail type navigation pattern, the divided slide type navigation pattern, and the last. It could be divided into six types of left and right slide navigation patterns.

Vanishing point-based 3D object detection method for improving traffic object recognition accuracy

  • Jeong-In, Park
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.1
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    • pp.93-101
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    • 2023
  • In this paper, we propose a method of creating a 3D bounding box for an object using a vanishing point to increase the accuracy of object recognition in an image when recognizing an traffic object using a video camera. Recently, when vehicles captured by a traffic video camera is to be detected using artificial intelligence, this 3D bounding box generation algorithm is applied. The vertical vanishing point (VP1) and horizontal vanishing point (VP2) are derived by analyzing the camera installation angle and the direction of the image captured by the camera, and based on this, the moving object in the video subject to analysis is specified. If this algorithm is applied, it is easy to detect object information such as the location, type, and size of the detected object, and when applied to a moving type such as a car, it is tracked to determine the location, coordinates, movement speed, and direction of each object by tracking it. Able to know. As a result of application to actual roads, tracking improved by 10%, in particular, the recognition rate and tracking of shaded areas (extremely small vehicle parts hidden by large cars) improved by 100%, and traffic data analysis accuracy was improved.

Development of 3-State Blind Digital Watermark based on the Correlation Function (신호상관함수를 이용한 3 상태 능동적 디지털 워터마크의 개발)

  • Choi, YongSoo
    • Journal of Software Assessment and Valuation
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    • v.16 no.2
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    • pp.143-151
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    • 2020
  • The digital content's security and authentication are important in the field of digital content application. There are some methods to perform the authentication. The digital watermarking is one of authentication methods. Paper presents a digital watermark authentication method that works in the application of digital image. The proposed watermark has the triple status information and performs the embedding and the detection without original Content. When authenticating the owner information of digital content, an autocorrelation function is used. In addition, a spread spectrum method is used to be adaptive to the signal of the original content in the frequency domain(DWT Domain). Therefore, the possibility of errors occurring in the detection of hidden information was reduced. it also has a advantage what Watermarking in DWT has faster embedding and detection time than other transformation domains(DFT, DCT, etc.). if it has a an image of size N=mXm, the computational amount can be reduced from O(N·logN) to O(N). The particular advantage is that it can hide more information(bits) per bit.