• 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.

• Journal of KIISE:Software and Applications
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• v.31 no.7
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• pp.929-938
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• 2004

This paper proposes a pose-invariant face recognition method using cylindrical model and stereo camera. We divided this paper into two parts. One is single input image case, the other is stereo input image case. In single input image case, we normalized a face's yaw pose using cylindrical model, and in stereo input image case, we normalized a face's pitch pose using cylindrical model with previously estimated pitch pose angle by the stereo geometry. Also, since we have an advantage that we can utilize two images acquired at the same time, we can increase overall recognition performance by decision-level fusion. Through representative experiments, we achieved an increased recognition rate from 61.43% to 94.76% by the yaw pose transform, and the recognition rate with the proposed method achieves as good as that of the more complicated 3D face model. Also, by using stereo camera system we achieved an increased recognition rate 5.24% more for the case of upper face pose, and 3.34% more by decision-level fusion.

• Smart Media Journal
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• v.5 no.1
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• pp.24-29
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• 2016

To satisfy the needs of high-level intelligent surveillance system, it shall be able to extract objects and classify to identify precise information on the object. The representative method to identify one's identity is face recognition that is caused a change in the recognition rate according to environmental factors such as illumination, background and angle of camera. In this paper, we analyze the robust face recognition of face image by changing the distance through a variety of experiments. The experiment was conducted by real face images of 1m to 5m. The method of face recognition based on Linear Discriminant Analysis show the best performance in average 75.4% when a large number of face images per one person is used for training. However, face recognition based on Convolution Neural Network show the best performance in average 69.8% when the number of face images per one person is less than five. In addition, rate of low resolution face recognition decrease rapidly when the size of the face image is smaller than $15{\times}15$.

• Journal of the Korean Society for information Management
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• v.32 no.1
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• pp.63-84
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• 2015

Library users must provide their personal information to libraries. This study surveyed these library users' perception of privacy and the effect of the education after providing library user privacy education. As a result, first, it was found that after education, users were more interested in their privacy, rated the problem of library user privacy as more severe, and rated library user data collection as more likely to be considered privacy invasion. Second, we investigated users' perception of how much user service records being collected in libraries violate users' privacy, which showed a great perception change in 25 questions after the education. Third, in the survey about library and librarians' efforts for protecting library user privacy, it was found that all 15 questions were rated as significantly more important after education. Fourth, library users have recognized that is necessary to process and handle the library record and are more sympathetic to the need for this procedure. Fifth, library users felt the possibility of a library record leak was a very serious threat.

• The Journal of Korean Association of Computer Education
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• v.12 no.1
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• pp.1-13
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• 2009

In spite of the revisions of guideline for ICT curriculum and Informatics curriculum a lot of people have yet a negative sight and indifferent attitude about their changes. In this research, we used programming course to correct their wrong recognition on Informatics Education. Our experiment study is based on the hypothesis that pre-teachers recognize spontaneously an effect of programming. There are 3 steps that a preliminary questionnaire, a programming course, a post-questionnaire are conducted to 130 pre-teachers to see how recognition changes. There were several findings made in this study. It revealed that pre-teachers's understanding of programming and the need of programming education was extremely poor. However, after programming course, it was found that recognition of pre-teachers change statistically regarding concept of programming and a need of programming education.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.373-379
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• 2020

The purpose of this study is to investigate the factors affecting change in consumers' consumption tendency and the perception of aged meat. This study compared 2012 and 2019 results from beef consumer surveys. The importance of quality judgment criteria, taste determinants, and the perception that marbling is harmful to health were analyzed using regression analysis through the backward elimination method. As a result of the analysis, it was determined that the importance had increased for recognizing freshness, juiciness, tenderness, and ripening period, and for knowing that marbling was harmful to the health. Also shown was that the intention to purchase aged meat had an influence on whether the consumer favorably perceived the freshness, tenderness, and ripening period. This study analyzed how consumers' consumption tendencies changed to cope with these changes in consumer preferences. The basic data of the research analyzed consumption propensity, the intention to consume beef, and what factors influence the perception of mature meat. It is thought that there is a need to raise awareness about aged meat for diversification of consumer preferences and rational production and consumption in the future.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.3
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• pp.205-208
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• 2013

Generally, binary pattern transforms have been used in the field of the face recognition and facial expression, since they are robust to illumination. Thus, this paper proposes an illumination-robust face recognition system combining an MLDP, which improves the texture component of the LDP, and a 2D-PCA algorithm. Unlike that binary pattern transforms such as LBP and LDP were used to extract histogram features, the proposed method directly uses the MLDP image for feature extraction by 2D-PCA. The performance evaluation of proposed method was carried out using various algorithms such as PCA, 2D-PCA and Gabor wavelets-based LBP on Yale B and CMU-PIE databases which were constructed under varying lighting condition. From the experimental results, we confirmed that the proposed method showed the best recognition accuracy.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.433-442
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• 2019

We have developed art and career convergence class for career recognition through drawing a neighborhood job map. Thus, we want to expand the students' career recognition. 3 Classes were conducted in 16 elementary school students from 5th to 6th. Through pre & post-questionnaire, and the interviews with the students' work, job recognition with job value and job prejudice, self-understanding and career attitude were analyzed. As follows. First, students' job recognition was expanded. The ability to identify the needs, values and purposes of jobs has improved. Changes in job values that all jobs are worth have occurred and job bias has changed. Second, the career attitude changed on the basis of self-understanding. Thus, in the context of deciding the job demanded by the society rather than the student's will, art and career convergence class was effective in career recognition.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.3
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• pp.517-525
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• 2006

In this paper, the algorithm which improve the efficiency of surveillance in spite of the change of light is proposed and confirmed by virtue of the experiments. One of the problems for the implementation of visual surveillance system is the image processing technique to overcome with the variations of illumination lights. Some conventional systems are generally not considered the error due to the change of lights because the system use at indoor. In practical, the factors of bad image can be classified to the ghosts due to the reflection of lights and shadows in a scene. Especially weak images and noises at night are decreased the performance of visual surveillance system. In the paper, the filter which improve the images with some change of illumination lights is designed and the gabor filter is used for recognition and tracking of the moving objects. In the results, the system showed that the recognition and tracking were obtained $92\sim100%$ of recognition rate at daytime, but $80\sim90%$ of nighttime.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.4 s.304
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• pp.59-68
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• 2005

This paper proposes a face recognition under varying poses using local area obtained by side-view pose normalization. General normalization methods for face recognition under varying pose have a problem with the information about invisible area of face. Generally this problem is solved by compensation, but there are many cases where the image is distorted or features lost due to compensation .To solve this problem we normalize the face pose in side-view to reduce distortion that happens mainly in areas that have large depth variation. We only use undistorted area, removing the area that has been distorted by normalization. We consider two cases of yaw pose variation and pitch pose variation, and by experiments, we confirm the improvement of recognition performance.