• Journal of the Korea Fashion and Costume Design Association
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• v.11 no.3
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• pp.125-134
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• 2009

The purpose of this study is to analyze the formative characteristics of power-shoulder jacket shown in 08/09 F/W and 09/10 F/W London, Paris, Milan, New York collection and extract main expression words for development of semantic differential scales of visual image according to the change in shoulder angle and width of power-shoulder jacket. The result of this study is as follows. Power-shoulder jacket which were worn by 1980 business women have similar cutting with men's suit jacket, but have characteristics of exaggerating the body figure as exaggerated shoulder with pad and tight waist like an inverted triangle silhouette. Power-shoulder jackets shown in collections used glossy and glittering material and dark colors and formed slim silhouette with matches of shoulder line of temperate senses and casual wear. Like this, the power-shoulder jacket was expanded to daily casual wear from traditional formal wear. Main expression words of visual image of jackets according to the changes in angle and width of shoulder differ greatly depending on the expansion degree of angle and width of shoulder. Changes in shoulder angle may look tense, stiff and too much according to the amount of changes. However, it also has the image of sharp but dignified and charismatic. Also, it helps to show body figure more efficiently like being slim and looking taller. Related to the current trend emphasizing shoulder among women, it is evaluated to be stylish and trendy. When the expansion degree is not too much, changes in shoulder width partly show slim and slender waist under the influence of wider shoulder with basic tailored jacket image. However, when the expansion degree is enlarged, image related to the body figure is more definite compared to other visual images.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.9
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• pp.136-143
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• 2013

In this paper, a algorithm to find joints of a small animal like a lizard from the multiple-view silhouette images is presented. The proposed algorithm is able to calculate the 3D coordinates so that the locomotion of the lizard is markerlessly reconstructed. The silhouette images of the lizard was obtained by a adaptive threshold algorithm. The skeleton image of the silhouette image was obtained by Zhang-Suen method. The back-bone line, head and tail point were detected with the A* search algorithm and the elimination of the ortho-diagonal connection algorithm. Shoulder joints and hip joints of a lizard were found by $3{\times}3$ masking of the thicked back-bone line. Foot points were obtained by morphology calculation. Finally elbow and knee joint were calculated by the ortho distance from the lines of foot points and shoulder/hip joint. The performance of the suggested algorithm was evaluated through the experiment of detecting joints of a small lizard.

• IEMEK Journal of Embedded Systems and Applications
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• v.11 no.3
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• pp.183-191
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• 2016

Recently, in rehabilitation treatment, the situation that requires a measure of the accuracy of the pose and movement of joints is being increased due to the habits and lifestyle of modern people and the environment. In particular, there is a need for active automated system that can determine itself for the matching rate of pose Basically, a method for measuring the matching rate of pose is used by extracting an image using the Kinect or extracting a silhouette using the imaging device. However, in the case of extracting a silhouette, it is difficult to set the comparison, and in the case of using the Kinect sensor, there is a disadvantages that high accumulated error rate according to movement. Therefore, In this paper, we propose a method to reduce the accumulated error of matching rate of pose getting the rotation angle of joint by measuring the real-time amount of change of 9-axis sensor. In particular, it can be measured same conditions that unrelated of the physical condition and unaffected by the data for the back and forth movement, because of it compares the current rotation angle of the joint. Finally, we show a comparative advantage results by compared with traditional method of extracting a silhouette and a method using a Kinect sensor.

• Journal of the Korean Society of Costume
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• v.65 no.3
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• pp.117-130
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• 2015

The purpose of this study is to investigate the 'sexy look' of the Paris Haute Couture evening dresses of the past 10 years from 2005 to 2014. The results are as follows: According to the occurrence frequency analysis of the fashion images of sexy look evening dress, the type of sexy look that appeared the most is the romantic sexy look, followed by erotic sexy look, ethnic sexy look, minimal sexy look and avant-garde sexy, respectively. According to the design component-specific analysis of evening dress for each Haute Couture house, 7 Haute Couture houses have used H-line silhouette over the past 10 years, each H-line silhouette being different. In terms of material, Valentino, Elie Saab, Givenchy, Chanel and Dior have shown a trend of favoring see-through material, Gaultier and Armani showed a lot to combine different materials. In terms of color, Valentino, Chanel, Dior, Gaultier, Armani have shown a general trend in the last 10 years to express sexy look by using attractive and mystical black tones, Elie Saab has shown skin color a lot by using brown family colors and Givenchy has used white family colors. According to the design components analysis for each sexy look fashion image, the H-line silhouette showed the most frequency to represent sexy looks. In terms of material, avant-garde sexy look, ethnic sexy look and minimal sexy look showed a lot to combine different materials to express sexy looks, but erotic sexy look and romantic sexy look are characterized by using thin see-through material. As for the color, black series has been most represented in the last 10 years for the Haute Couture evening dress sexy look.

• Journal of KIISE:Software and Applications
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• v.34 no.1
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• pp.52-58
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• 2007

In this paper we propose a new robust method to extract accurate human silhouettes indoors with active stereo camera. A prime application is for gesture recognition of mobile robots. The segmentation of distant moving objects includes many problems such as low resolution, shadows, poor stereo matching information and instabilities of the object and background color distributions. There are many object segmentation methods based on color or stereo information but they alone are prone to failure. Here efficient color, stereo and image segmentation methods are fused to infer object and background areas of high confidence. Then the inferred areas are incorporated in graph cut to make human silhouette extraction robust and accurate. Some experimental results are presented with image sequences taken using pan-tilt stereo camera. Our proposed algorithms are evaluated with respect to ground truth data and proved to outperform some methods based on either color/stereo or color/contrast alone.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.6
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• pp.75-83
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• 2007

A model based approach of tracking the limbs of a walking human subject is proposed in this paper. The tracking process begins by building a data base composed of conditional probabilities of motions between the limbs of a walking subject. With a suitable amount of video footage from various human subjects included in the database, a probabilistic model characterizing the relationships between motions of limbs is developed. The motion tracking of a test subject begins with identifying and tracking limbs from the surveillance video image using the edge and silhouette detection methods. When occlusion occurs in any of the limbs being tracked, the approach uses the probabilistic motion model in conjunction with the minimum cost based edge and silhouette tracking model to determine the motion of the limb occluded in the image. The method has shown promising results of tracking occluded limbs in the validation tests.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.2
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• pp.302-313
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• 1997

The purpose of this study was to investigate the meaning structure of Korean costume image in contemporary Korean fashion design expressed beauty of traditional dress. This study compared Korean and American regarding the evaluation of Korean costume image. The result was as follows; 1. The constructing factors of Korean costume image were found out as elegance, simplicity, neatness, femineity, looseness. (total variance; 62%) 2. The visual evaluation between Korean and American were sinificantly different regarding 5 factors. 3. Korean costume design were classified 4 clusters. Korean traditional fabrics and colors were commonly used in the 4 clusters. Difference of design were found in the structure of form. Formation of Korean costume image were influenced by silhouette and pattern of fabric. 4. Image of 'Would like to purchase' were influenced by image of taste.

• Journal of Electrical Engineering and Technology
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• v.9 no.6
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• pp.2118-2125
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• 2014

Gait Recognition is a new technique to identify the people by the way they walk. Human gait is a spatio-temporal phenomenon that typifies the motion characteristics of an individual. The proposed method makes a simple but efficient attempt to gait recognition. For each video file, spatial silhouettes of a walker are extracted by an improved background subtraction procedure using Gaussian Mixture Model (GMM). Here GMM is used as a parametric probability density function represented as a weighted sum of Gaussian component densities. Then, the relevant features are extracted from the silhouette tracked from the given video file using the Principal Component Analysis (PCA) method. The Fisher Linear Discriminant Analysis (FLDA) classifier is used in the classification of dimensional reduced image derived by the PCA method for gait recognition. Although gait images can be easily acquired, the gait recognition is affected by clothes, shoes, carrying status and specific physical condition of an individual. To overcome this problem, it is combined with footprint as a multimodal biometric system. The minutiae is extracted from the footprint and then fused with silhouette image using the Discrete Stationary Wavelet Transform (DSWT). The experimental result shows that the efficiency of proposed fusion algorithm works well and attains better result while comparing with other fusion schemes.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.2
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• pp.147-156
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• 2012

The purpose of this study is to analyze the style of wide pants shown in collections from 2008 to 2011 and to extract main expressional words for the development of semantic differential scales of visual images according to the change in silhouette of wide pants. The results of this study are as follows: 1) The wide pants which women wore in the 1970s were similar to men's. The aesthetic values for the wide pants included the social women's requests of the time. On the other hand, new wide pants shown in the current collections have diversified by adding designers' will to express contemporary women's tastes and fashion senses. 2) 742 wide pants shown in collections were composed of 459 straight, 147 bell-bottom and 136 flared pants. The design differs according to changes in the waist position and width of the wide pants. 3) Main expressional words of visual images for wide pants differ greatly depending on the silhouette of wide pants. The visual images are ranked in the order of 'showed that legs are long', 'looked taller', 'neat', 'relaxed', 'retro', 'modern' for straight pants. The words of 'retro', 'countrified', 'legs seemed to be long', 'enough' 'confident' 'looked like thighs that are slim' are ranked for bell-bottom pants. And the words of 'plentiful' 'loose', 'enough', 'retro' 'uncomfortable', 'relaxed', 'countrified' are marked down for flared pants.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.3
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• pp.589-599
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• 1997

The purpose of this study was to investigate compostion factor and special qualities of design about Korean clothing image. The 72 samples were obtained from domestic fashion magazines. The questionnaire, which was composed 23 semantic diffrential bi-polar scales, was distributed to 50 female students majoring in Clothing and Textiles. The data were analyzed through factor analysis, anova, scheffe's test, clust analysis. The results were as follows; 1) Through factor analysis about Korean clothing image, 5 factors were identified; elegance, simplicity, femininity, tradition, looseness. 2) By cluster analysis, 3 clusters were determined according to Korean clothing image. Special qualities of design about Korean clothing image showed that there were lots of H silhouette in clothing form, related harmony in color harmony, somewhat rough and crude in texture and simple design in decoration. Top was more or less fit and bottom was found somewhat exaggerated tendency in fitness. 3) As a result of the visual evaluation about Korean clothing image, there were significant differences in all factors.