• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.06a
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• pp.322-325
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• 2018

영상의 관심 영역 검출은 영상처리 및 컴퓨터 비전 응용 분야에서 꾸준하게 사용되고 있는 기법이다. 특히, 근래 심층신경망 연구의 급격한 발전에 힘입어 심층신경망을 이용한 관심 영역 검출 기법에 대한 연구가 활발하게 진행되고 있다. 한편 Fully Convolutional Network(이하 FCN)은 본래 심층 예측(Dense Prediction)을 통한 의미론적 영상 분할(Semantic Segmentation)을 수행하기 위해 제안된 심층신경망 구조이다. FCN을 영상의 관심 영역 검출에 활용하여도 기존 관심 영역 검출 기법과 비교하여 충분히 좋은 성능을 발휘할 수 있다. 그러나 FCN에 사용되는 convolution 층의 수가 많고, 이에 따른 가중치(weight)의 개수도 기하급수적으로 늘어나 검출에 필요한 시간 복잡도가 매우 크다는 문제점이 있다. 따라서 본 논문에서는 기존 FCN이 가진 검출 시간 복잡도의 문제점을 convolution 층의 가중치 관점에서 해결하고자 이를 조절하여 FCN의 관심 영역 검출 속도를 향상시키는 방법을 제안한다. 적절한 convolution 층의 가중치를 조절함으로써, MSRA10K 데이터셋 환경에서 검출 정확도를 크게 저하시키지 않고도 최대 약 20.5%만큼 검출 속도를 향상시킬 수 있었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.478-481
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• 2010

컴퓨터 비전에서 객체의 인식, 추적에 앞서 배경으로부터 전경을 분리하는 배경차감 기법과 분리된 전경에 대한 관심 영역(ROI)을 추출하는 것은 일반적인 방법이다. 하지만 전경을 정확히 분리하지 못하면 개별 객체의 관심영역(ROI) 역시 잘못 추출되는 문제가 발생된다. 본 논문에서는 정확하지 않은 전경 분리로 부터 발생되는 개별 객체에 대한 분산된 관심영역을 병합하는 방법을 제안한다. 본 방법은 배경과 분리된 전경에서 한 객체의 일정 거리 이내에 있는 다른 객체를 가상으로 병합하는 단계, 워터쉐드 분할 알고리즘을 적용하는 단계를 거쳐 다시 블럽 레이블링을 수행한다. 제안 방법을 통하여 배경 모델에서 분리된 개별 객체의 병합된 관심영역을 제공한다. 실험에서 기존의 일반적인 블럽 레이블링 방법만을 적용하여 추출한 전경영역과 제안하는 방법에 의한 전경영역을 비교하여 배경 모델에서 분리된 개별 객체의 관심영역이 효과적으로 추출되는 것을 보인다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.293-297
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• 2007

This thesis suggests a new algorithm to detects multiple moving objects using a CMODE(Correct Multiple Object DEtection) method in the color images acquired in real-time and to track the interested pedestrian using motion and hue information. The multiple objects are detected, and then shaking trees or moving cars are removed using structural characteristics and shape information of the man , the interested pedestrian can be detected, The first similarity judgment for tracking an interested pedestrian is to use the distance between the previous interested pedestrian's centroid and the present pedestrian's centroid. For the area where the first similarity is detected, three feature points are calculated using k-mean algorithm, and the second similarity is judged and tracked using the average hue value for the $3{\times}3$ area of each feature point. The zooming of camera is adjusted to track an interested pedestrian at a long distance easily and the FOV(Field of View) of camera is adjusted in case the pedestrian is not situated in the fixed range of the screen. As a experiment results, comparing the suggested CMODE method with the labeling method, an average approach rate is one fourth of labeling method, and an average detecting time is faster three times than labeling method. Even in a complex background, such as the areas where trees are shaking or cars are moving, or the area of shadows, interested pedestrian detection is showed a high detection rate of average 96.5%. The tracking of an interested pedestrian is showed high tracking rate of average 95% using the information of situation and hue, and interested pedestrian can be tracked successively through a camera FOV and zooming adjustment.

• The Journal of the Korea Contents Association
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• v.15 no.12
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• pp.273-284
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• 2015

The purpose of the study is to investigate baseline data by exploring the self-esteem and general appearance management behavior in North Korean immigrant women. The data were collected from December 2014 to February 2015 from 201 participants. The data were analyzed using SPSS 21.0 program. The followings are the results of the present study. 1) The mean score of self-esteem was 2.40 in 4 points, and the mean of the appearance concern was 3.20 in 5 points. And the mean of general appearance management behavior was 2.67 in 5 points. Subjects had a lot of make-up and clothes behaviors. However exercise, food intake behaviors of subjects were lowerer than average. 2) There were significant differences between self-esteem, the appearance concern and general charateristeics(e.g age, intent weight loss, interest in cosmetic surgery). In general appearance management behavior, there was a significant difference among age, interest in cosmetic surgery and job in North Korea. 3) There was a significant correlation among self-esteem and the appearance concern, general appearance management behavior, age, intent weight control as well as interest in cosmetic surgery. In the appearance concern, it showed a correlation with general appearance management behavior, age, intent weight control as well as interest in cosmetic surgery. In general appearance management behavior, there was a significant correlation among the age, intent weight control and interest in cosmetic surgery. 4) 44.7% of general appearance management behavior was explained: self-esteem, the appearance concern. Therefore, it can be suggested that utilization of developing programs for improving self-esteem and appearance management behavior.

• Journal of Technology Innovation
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• v.26 no.1
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• pp.31-57
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• 2018

The general public's interest level towards safer life is increasing due to not only ever-changing faces of disasters and increased frequency of climate-change related disasters but also enhanced standard of living. Demand for disaster-safety industry is also increasing. Several policies for disaster-safety industry have been introduced. The policies, however, did not fully reflect the level of people's interest. This study is to investigate possible ways to reflect general public's interests towards disaster-safety industry using social media analysis, so that disaster-safety industry can be properly promoted. To examine the level of general public's interest, social media data during the last three years were compiled and analyzed. It was found that the interest level was highest towards, firstly, information on just-happened real disasters, secondly, necessary knowledge in real life which could be applied immediately if disasters strike. It was also confirmed that social media was useful in analyzing people's interest level quickly, because social data have been found to be sharply increased during the 2016 Gyeongju Earthquake in Korea. This study suggests applicable plans for disaster-related industry promotion based on social media data using general public's interest level.

• Journal of Science Education
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• v.39 no.1
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• pp.28-43
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• 2015

The purpose of this study was to measure middle and high school students' stage of concern(SoC) and their level of use(LoU) on the self-directed learning in science learning based on the CBAM(Concern-Based Adoption Model). Additionally, this research was designed to analyze the difference between the degree of students' SoC and their LoU according to the their background variables. For this, 440 middle and high school students participated in the research. The results of this study were as follow: Firstly, since the students' SoC and LoU about the self-directed learning in science learning are low(Stage0 : awareness and Level II : preparation), we should draw students' immediate concern by developing training programs that would enable them to actually participate in the process of implementing the self-directed learning. Secondly, the students' SoC and LoU on self-directed learning in science learning vary depending on their residence, gender, and grade. This is the reason why we have to develop customized training programs on self-directed learning that suits their background. Thirdly, it shows that students, who have higher concern on self-directed learning in science learning, implement it better than those who are not concerned with it at all. It implies that we need a training program that considers both the students' concern and implementation on self-directed learning in science learning.

• Journal of the East Asian Society of Dietary Life
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• v.17 no.6
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• pp.798-807
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• 2007

This study compared the characteristics between intake and non-intake respondents of health foods, and analyzed the factors affecting the willingness to consume health foods, in order to provide the educational program for the desirable choice of health foods. The data were collected from 453 adults living in Busan and Gyeongnam through a self-administered questionnaire and were analyzed using SPSS Windows. Approximately 49% of the respondents consumed health foods at the time of survey. According to the results of chi-square and t tests, there were significant differences between the intake and non-intake respondents by variables, which included sex, age, educational level, marriage status, monthly household income, concerns about health, self-evaluation of health status, self-evaluation of health status compared to the same age, concerns about health foods, awareness of health foods, and internal health locus of control. In addition, the results of multinomial logistic regression analysis showed that the factors affecting willingness to consume health foods in the future were sex, educational level, marriage status, concerns about health and health foods, awareness of health foods, powerful others health locus of control, internal health locus of control, and current intake of health foods.

• Journal of Convergence for Information Technology
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• v.8 no.2
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• pp.121-131
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• 2018

The purpose of this study is to analyze whether the cosmetic interest of middle school female students(n=126) is related to purchase satisfaction by using purchase behavior and informatization level as control variables. Based on the research model, three hypotheses were set and statistical tests were conducted. The results of this study are as follows. First, middle school female students used cosmetics from elementary school and cosmetics education was requested from elementary school. Therefore proper early education on cosmetic use is needed. Second, the degree of interest and purchasing behavior of cosmetics was positively correlated with the purchase satisfaction of cosmetics. Third, the purchasing behavior of cosmetics was found to have a more effect on purchase satisfaction than the cosmetics interest. Especially, 'cosmetics purchase behavior' had a moderating effect on purchase satisfaction. Fourth, there was no difference in the average among the grades about cosmetics category(cosmetic interest, purchase behavior, informatization level, purchase satisfaction). This study needs to pay more attention to cosmetics purchasing behavior, which has the greatest effect on the satisfaction of cosmetics purchasing among middle school girls, and suggests that further studies will be continued to expand the range and ages in the future.

• Journal of Cadastre & Land InformatiX
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• v.49 no.1
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• pp.103-112
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• 2019

Extraction of region of interest for satellite image classification is one of the important techniques for efficient management of the national land space. However, recent studies on satellite image classification often depend on the information of the selected image in selecting the region of interest. This study propose an effective method of selecting the area of interest using the continuous digital topographic map constructed from high resolution images. The spatial information used in this research is based on the digital topographic map from 2013 to 2017 provided by the National Geographical Information Institute and the 2015 Sejong City land cover map provided by the Ministry of Environment. To verify the accuracy of the extracted area of interest, KOMPSAT-3A satellite images were used which taken on October 28, 2018 and July 7, 2018. The baseline samples for 2015 were extracted using the unchanged area of the continuous digital topographic map for 2013-2015 and the land cover map for 2015, and also extracted the baseline samples in 2018 using the unchanged area of the continuous digital topographic map for 2015-2017 and the land cover map for 2015. The redundant areas that occurred when merging continuous digital topographic maps and land cover maps were removed to prevent confusion of data. Finally, the checkpoints are generated within the region of interest, and the accuracy of the region of interest extracted from the K3A satellite images and the error matrix in 2015 and 2018 is shown, and the accuracy is approximately 93% and 72%, respectively. The accuracy of the region of interest can be used as a region of interest, and the misclassified region can be used as a reference for change detection.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.4
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• pp.940-947
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• 2015

This paper presents the region of interest pattern image extraction method on a display printed matrix pattern. Proposed method can not use conventional method such as laser, ultrasonic waves and touch sensor. It searches feature point and rotation angle using luminance and pattern reliable feature points of input image, and then it extracts region of interest. In order to extract region of interest, we simulate proposed method using pattern image written various angles on display panel. The proposed method makes progress using the OpenCV and the window program, and was designed using Verilog-HDL and was verified through the FPGA Board(xc6vlx760) of Xilinx.