• Journal of Institute of Control, Robotics and Systems
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• v.16 no.1
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• pp.69-76
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• 2010

The segmentation of moving object in video sequence is a core technique of intelligent image processing system such as video surveillance, traffic monitoring and human tracking. A typical method to segment a moving region from the background is the background subtraction. The steps of background subtraction involve calculating a reference image, subtracting new frame from reference image and then thresholding the subtracted result. One of famous background modeling is Gaussian mixture model (GMM). Even though the method is known efficient and exact, GMM suffers from a problem that includes false pixels in ROI (region of interest), specifically shadow pixels. These false pixels cause fail of the post-processing tasks such as tracking and object recognition. This paper presents a method for removing false pixels included in ROT. First, we subdivide a ROI by using shape characteristics of detected objects. Then, a method is proposed to classify pixels from using histogram characteristic and comparing difference of energy that converts the color value of pixel into grayscale value, in order to estimate whether the pixels belong to moving object area or shadow area. The method is applied to real video sequence and the performance is verified.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.9
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• pp.76-90
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• 1999

In this paper, a color image retrieval algorithm is proposed based on color histogram and color texture. The representative color vectors of a color image are made from k-means clustering of its color histogram, and color texture is generated by centering around the color of pixels with its color vector. Thus the color texture means texture properties emphasized by its color histogram, and it is analyzed by Gaussian Markov Random Field (GMRF) model. The proposed algorithm can work efficiently because it does not require any low level image processing such as segmentation or edge detection, so it outperforms the traditional algorithms which use color histogram only or texture properties come from image intensity.

• Fashion & Textile Research Journal
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• v.15 no.5
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• pp.777-786
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• 2013

This study identifies the influences of appearance-related consumption behavior according to interpersonal relations and masculinity examined through amediated effect of appearance concerns based on a structural study method. Five hypotheses were established to verify the relationships of interpersonal relations, masculinity and appearance-related consumption behavior. Questionnaires were administered to 201 males in their 20s to 50s living in Daegu South Korea. The SPSS 20.0 package utilized for data analysis included frequency analysis, factor analysis, correlation analysis, regression analysis and Cronbach's ${\alpha}$. This study utilized an Amos 21.0 program, a Confirmative Factor Analysis(CFA)and a Structural Equation Modeling(SEM). The results of the study are as follows: First, the appearance concern showed a partial mediation effect between measurement variables that verified the causal relationship of the structural model. Second, interpersonal relations showed a positive influence on masculinity. Third, masculinity showed a positive influence on the appearance concern. Fourth, masculinity had a positive influence on appearance-related consumption behavior. Fifth, interpersonal relations did not have a significant influence on appearance-related consumption behavior. Sixth, the appearance concern showed a positive influence on appearance-related consumption behavior. The findings of this study can influence a market segmentation strategy by predicting future emotional and new consumption markets strategies for male's appearance-related product.

• Korean Journal of Construction Engineering and Management
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• v.5 no.5 s.21
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• pp.151-162
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• 2004

Current methods for construction site modeling employ large, expensive laser range scanners that produce dense range point clouds of a scene from different perspectives. Days of skilled interpretation and of automatic segmentation may be required to convert the clouds to a finished CAD model. The dynamic nature of the construction environment requires that a real-time local area modeling system be capable of handling a rapidly changing and uncertain work environment. However, in practice, large, simple, and reasonably accurate embodying volumes are adequate feedback to an operator who, for instance, is attempting to place materials in the midst of obstacles with an occluded view. For real-time obstacle avoidance and automated equipment control functions, such volumes also facilitate computational tractability. In this research, a human operator's ability to quickly evaluate and associate objects in a scene is exploited. The operator directs a laser range finder mounted on a pan and tilt unit to collect range points on objects throughout the workspace. These groups of points form sparse range point clouds. These sparse clouds are then used to create geometric primitives for visualization and modeling purposes. Experimental results indicate that these models can be created rapidly and with sufficient accuracy for automated obstacle avoidance and equipment control functions.

• Journal of Information Processing Systems
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• v.16 no.1
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• pp.224-237
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• 2020

Recognition of banknote serial number is one of the important functions for intelligent banknote counter implementation and can be used for various purposes. However, the previous character recognition method is limited to use due to the font type of the banknote serial number, the variation problem by the solid status, and the recognition speed issue. In this paper, we propose an aspect ratio based character region segmentation and a convolutional neural network (CNN) based banknote serial number recognition method. In order to detect the character region, the character area is determined based on the aspect ratio of each character in the serial number candidate area after the banknote area detection and de-skewing process is performed. Then, we designed and compared four types of CNN models and determined the best model for serial number recognition. Experimental results showed that the recognition accuracy of each character was 99.85%. In addition, it was confirmed that the recognition performance is improved as a result of performing data augmentation. The banknote used in the experiment is Indian rupee, which is badly soiled and the font of characters is unusual, therefore it can be regarded to have good performance. Recognition speed was also enough to run in real time on a device that counts 800 banknotes per minute.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.577-580
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• 2010

This paper proposes a new algorithm for flicker reduction. Flicker is defined as unwanted luminance fluctuation in the image sequences. As the flicker degrades the performance of motion estimation or segmentation of the objects, it should be corrected before further processing. In this paper, we model the flicker effects as a linear system with gain and offset parameter and propose the new algorithm for flicker reduction. The proposed algorithm considers gain and offset parameter separately, and stabilizes the luminance fluctuation based on these parameters. We show the performance of the proposed method by testing on the sequence with artificially added luminance flicker and real sequence with object motion.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.113-119
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• 2003

Building information is extremely important for many applications within the urban environment. Sufficient techniques and user-friendly tools for information extraction from remotely sensed imagery are urgently needed. This paper presents an automatic and manual approach for extracting footprints of buildings in urban areas from airborne Light Detection and Ranging (LIDAR) data. First a digital surface model (DSM) was generated from the LIDAR point data. Then, objects higher than the ground surface are extracted using the generated DSM. Based on general knowledge on the study area and field visits, buildings were separated from other objects. The automatic technique for extracting the building footprints was based on different window sizes and different values of image add backs, while the manual technique was based on image segmentation. A comparison was then made to see how precise the two techniques are in detecting and extracting building footprints. Finally, the results were compared with manually digitized building reference data to conduct an accuracy assessment and the result shows that LIDAR data provide a better shape characterization of each buildings.

• Korean Journal of Organic Agriculture
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• v.16 no.3
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• pp.239-258
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• 2008

This study identifies the spectrum of different forms of sharing labor in farm houses following the increase in the production of organic produce and deals with the gender division of labor and every day life of the farm households. The increased labor burdens of organic farming give more work opportunities to wives, weakening the gender barriers. However, some of the farm households seeking for economic feasibility are strengthening the gender barriers by specialized work divisions, leading to outside order labor of harvest, sorting, and packaging in order to increase efficiency in agricultural management in extreme cases. Even in the alternative distribution system, farm households has become subject to the distribution system as it is shown that coop claimed the segmentation of sorting work. This is because the convenience of the customers goes before the advantages of producers. Jinju, seeking for economic feasibility, has established the springboard for growth by greenhouse through monoculture and specialization and are operating economic growth stably. Farm couples with this condition, where their incomes are relatively high, are attempting to recharge their energy during low seasons. It is expected that this will be a model case of conventionalization of organic farming. Significance of organic farming in this matter is discussed.

• Journal of Fashion Business
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• v.13 no.3
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• pp.99-108
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• 2009

The purpose of this study is to analyze the middle-aged British women's apparel purchase behavior. The results of this study can be used to present the tendency of Korean middle-aged women's apparel purchase behavior when they become the old-aged by comparing and analyzing the British women's purchase behavior. We found that they prefer to choose and purchase their clothes by their own decision-making and search for actively the new brands for old age. Strong willingness was showed that their level of consumption amounts for clothing would be the same level between middle-aged and old-aged. It was also presented that they like to see a old-aged fashion model for fashion advertisement rather than a younger one and prefer to use the expression of 'mature' rather than a stereotypical expression such as a silver, gray and gold. The segmentation of fashion market by age can not be simply standardized. We expect that the propensity for clothing purchase behavior pattern of middle-aged women will not be changed and keep the same tendency by the time of their old-aged. We expect that this research results can be used as a basic material for another study and setting up the product developments and marketing strategies.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.3
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• pp.365-371
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• 2011

Most recently issued paper money includes security patterns that can be only identified by ultra violet (UV) illuminations. We propose an automatic extraction method of UV patterns for paper money inspection systems. The image acquired by camera and UV illumination is transformed to input data through preprocessing. And then, the Gaussian mixture model (GMM) and split-and-merge expectation maximization (SMEM) algorithm are applied to segment the image represented by input data. In order to extract the UV pattern from the segmented image, we develop a criterion using the area of covariance vector and the weight value. The experimental results on various paper money are presented to verify the usefulness of the proposed method.