• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.3
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• pp.1-10
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• 2010

As various interfacing devices for computational machines are being developed, a new HCI method using hand motion input is introduced. This interface method is a vision-based approach using a single camera for detecting and tracking hand movements. In the previous researches, only a skin color is used for detecting and tracking hand location. However, in our design, skin color and shape information are collectively considered. Consequently, detection ability of a hand increased. we proposed primary orientation edge descriptor for getting an edge information. This method uses only one hand model. Therefore, we do not need training processing time. This system consists of a detecting part and a tracking part for efficient processing. In tracking part, the system is quite robust on the orientation of the hand. The system is applied to recognize a hand written number in script style using DNAC algorithm. Performance of the proposed algorithm reaches 82% recognition ratio in detecting hand region and 90% in recognizing a written number in script style.

• Korean Journal of School Psychology
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• v.18 no.2
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• pp.153-174
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• 2021

The purpose of this study is to verify antecedent variables that positively influence behavioural engagement during school engagement, which is critical to adolescent socialization. The antecedent variable was categorized into the personal characteristics of adolescents who are the main agents of socialization and peer support and teacher support, which can be called social support at school sites. Individual characteristics include strength recognition, strength utilization, and learning goal orientation, and, peer supports include the supports for personality strength and academy, and, teacher supports include the supports for personality strength and perspective change. For this study, a survey was conducted on 539 high school students nationwide, collected data, 33 of them were removed, and 506 data were analyzed. Analysis shows that only learning goal orientation set as a sub-factor of individual characteristics has a static significant effect on behavioral engagement. Finally, based on the findings, we discuss the implications, limitations, and future research tasks of the study.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.28 no.2
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• pp.125-132
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• 2004

In this paper, we propose a new two-stage segmentation method for the effective object recognition which uses region-growing algorithm and k-means clustering method. At first, an image is segmented into many small regions via region growing algorithm. And then the segmented small regions are merged in several regions so that the regions of an object may be included in the same region using typical k-means clustering method. This paper also establishes similarity measurement which is useful for object recognition in an image. Similarity is measured by fuzzy system whose input variables are compactness, magnitude of biasness and orientation of biasness of the object image, which are geometrical features of the object. To verify the effectiveness of the proposed two-stage segmentation method and similarity measurement, experiments for object recognition were made and the results show that they are applicable to object recognition under normal circumstance as well as under abnormal circumstance of being.

• The Journal of the Convergence on Culture Technology
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• v.4 no.3
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• pp.27-32
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• 2018

The study chose two people, KimSamuidang(1769~1823) and GangJeongildang(1772~1832), as concrete examples representing the common female writers in the late of the Joseon Dynasty. And study the recognition on reality and consciousness of orientation in the poetic literature. KimSamuidang is commit to the revival of his family to pass the test. And exchange with husband through active study literature and practice wife law. She left the largest number of works as a female writer during the Joseon Dynasty. GangJeongildang is a Confucian scholar and poet of the late Joseon Dynasty. She also spent her whole life sewing and suffering from disease, trying to create a dying family. Teaching her husband's education, she established self-recognition, encouraged and supported learning. They had a equality sense of marriage couple as academic friends, encouraging each other to study, and by passing the test, they tried to raise their families. Also, although poor in rural life, the mind was the Independent women who pursued comfortable life.

• Journal of Korea Multimedia Society
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• v.15 no.3
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• pp.336-344
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• 2012

As an important part of the Computer Vision, the object recognition and tracking function has infinite possibilities range from motion recognition to aerospace applications. One of methods to improve accuracy of the object recognition, are uses colors which have robustness of orientation, scale and occlusion. Computational cost for extracting features can be reduced by using color. Also, for fast object recognition, predicting the location of the object recognition in a smaller area is more effective than lowering accuracy of the algorithm. In this paper, we propose a method that uses SURF descriptors which applied with color model for improving recognition accuracy and combines with Kalman filter which is Motion estimation algorithm for fast object tracking. As a result, the proposed method classified objects which have same patterns with different colors and showed fast tracking results by performing recognition in ROI which estimates future motion of an object.

• Journal of the Korean Society of Costume
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• v.56 no.4 s.103
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• pp.33-47
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• 2006

In 21 century, the ubiquitous environment is advanced fast through the so-called digital convergence. This research experts what is the next generation of traditional fashion product purchase behaviors. The purpose of this study is to analyze the fashion product purchase decision making in the development stages of ubiquitous environment. The quantitative Investigation was executed for 487 collegians and the data were analyzed with Frequency, percentage, ANOVA, Duncan test and multiple regression by using SPSS win version 10 package. The results of this research were as followed: First, in the 1st stages of ubiquitous developmental environment, using internet pc or mobile phone was analyze the difference between fashion shopping orientation group and purchase restricted factor Second, as a result of the factor analysis of the ubiquitous 2nd stages, four lower dimensions were made: giving information; wearable effect, buying facility; interest from purchase. as a result of ANOVA, there were any differences between fashion shopping orientation group and ubiquitous 2nd stages. Third, in the 3rd stages of ubiquitous developmental environment, there are differences between fashion shopping orientation group and ubiquitous 3rd stages. And the result from regression analysis of the ubiquitous 2nd stages and 3rd stages showed that buying facility factor in increasing need recognition, wearable effect factor in fashion information acquisition, giving information factor in have a intention to buy in ubiquitous #3 rendition are most influential.

• Journal of the Korea Fashion and Costume Design Association
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• v.9 no.1
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• pp.221-234
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• 2007

The purposes of this study were to identify the effect of clothing involvement and shopping orientations on the usage of information sources and to investigate the differences of clothing involvement, shopping orientation and clothing purchasing behavior according to the types of information source usage. The study subjects comprised 302 females living in Seoul. The datas were analyzed with factor analysis, regression, ANOVA, discriminant analysis, and $x^2$-test. The results generated from this study are as follows: First, clothing involvement and shopping orientation factors influenced the usage of information source. Among the clothing involvement factors, fashion/clothing involvement was the most important factor to the types of information source. Second, according to usage of information sources, female consumers were classified into four groups, such as active, nonpersonal, personal, and non-active information source usage group. Fashion/clothing involvement was the most significant involvement factor to divide four groups. Third, among the demographic variables, only age was the useful factor which can differ the usage of information source. For example, 30s' were more active than other groups, on the other hand 50s' use personal information source more than other groups. Therefore, marketer should blow consumer's clothing involvement and shopping orientation which are effective to the usage of information source, and use this knowledge on the advertising and marketing plan.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.2
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• pp.43-50
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• 2018

The camera is a key element in image-based three-dimensional positioning, and camera calibration, which properly determines the internal characteristics of such a camera, is a necessary process that must be preceded in order to determine the three-dimensional coordinates of the object. In this study, a new methodology was proposed to determine interior orientation parameters of a camera semi-automatically without being influenced by size and shape of checkerboard for camera calibration. The proposed method consists of exterior orientation parameters estimation using quaternion, recognition of calibration target, and interior orientation parameter determination through bundle block adjustment. After determining the interior orientation parameters using the chessboard calibration target, the three-dimensional position of the small 3D model was determined. In addition, the horizontal and vertical position errors were about ${\pm}0.006m$ and ${\pm}0.007m$, respectively, through the accuracy evaluation using the checkpoints.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.7
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• pp.1807-1822
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• 2023

Innovation and rapid increased functionality in user friendly smartphones has encouraged shutterbugs to have picturesque image macros while in work environment or during travel. Formal signboards are placed with marketing objectives and are enriched with text for attracting people. Extracting and recognition of the text from natural images is an emerging research issue and needs consideration. When compared to conventional optical character recognition (OCR), the complex background, implicit noise, lighting, and orientation of these scenic text photos make this problem more difficult. Arabic language text scene extraction and recognition adds a number of complications and difficulties. The method described in this paper uses a two-phase methodology to extract Arabic text and word boundaries awareness from scenic images with varying text orientations. The first stage uses a convolution autoencoder, and the second uses Arabic Character Segmentation (ACS), which is followed by traditional two-layer neural networks for recognition. This study presents the way that how can an Arabic training and synthetic dataset be created for exemplify the superimposed text in different scene images. For this purpose a dataset of size 10K of cropped images has been created in the detection phase wherein Arabic text was found and 127k Arabic character dataset for the recognition phase. The phase-1 labels were generated from an Arabic corpus of quotes and sentences, which consists of 15kquotes and sentences. This study ensures that Arabic Word Awareness Region Detection (AWARD) approach with high flexibility in identifying complex Arabic text scene images, such as texts that are arbitrarily oriented, curved, or deformed, is used to detect these texts. Our research after experimentations shows that the system has a 91.8% word segmentation accuracy and a 94.2% character recognition accuracy. We believe in the future that the researchers will excel in the field of image processing while treating text images to improve or reduce noise by processing scene images in any language by enhancing the functionality of VGG-16 based model using Neural Networks.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.11
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• pp.495-502
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• 2014

An effective solution to the variation on scale and rotation is required to recognize contactless palmprint. In this study, we firstly minimize the variation by extracting a region of interest(ROI) according to the size and orientation of hand and normalizing the ROI. This paper proposes a contactless palmprint recognition method based on KLT(Kanade-Lukas-Tomasi) feature points. To detect corresponding feature points, texture in local regions around KLT feature points are compared. Then, we recognize palmprint by measuring the similarity among displacement vectors which represent the size and direction of displacement of each pair of corresponding feature points. An experimental results using CASIA public database show that the proposed method is effective in contactless palmprint recognition. Especially, we can get the performance of exceeding 99% correct identification rate using multiple Gabor filters.