• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.6
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• pp.1179-1186
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• 2012

In this paper, we propose an algorithm that recognizes human activity patterns using the human body's joints and the information of the joints. The proposed method extracts the object from inputted video, automatically extracts joints using the ratio of the human body, applies block-matching algorithm for each joint and gets the motion information of joints. The proposed method uses the joints to move, the directional vector of motions of joints, and the sign to represent the increase or decrease of x and y coordinates of joints as basic parameters for human recognition of activity. The proposed method was tested for 8 human activities of inputted video from a web camera and had the good result for the ration of recognition of the human activities.

• The KIPS Transactions:PartD
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• v.10D no.5
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• pp.753-762
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• 2003

Many Methodologies have proposed for component retrieval. Among them, thesaurus concept has introduced for similar component retrieval. This paper classified classes by concept according to inheritance relation for efficient retrieval of component, and applied fuzzy logic to thesaurus method and constructed object-oriented thesaurus. Proposed method could express category between concepts automatically, and calculate fuzzy degree between classes by comparing matching and mismatching degree to each class and category and construct thesaurus. Component retrieval is that using classes of component, candidate components are retrieved according to priority order using fuzzy similarity. Also, we improved retrieval performance by thesaurus greatly, setting critical of most suitable through simulation.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.17 no.2
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• pp.105-116
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• 1999

Owing to the rapid development of computer system and the introduction of image processing technique, recent photogrammetric studies have been concentrated on the automation of photogrammetric orientation work that have been carried out by skilled professionals in analog and/or analytical pbotogrammetric field. To automate the whole photogrammetric work, the automation of the orientation processes including interior, relative and absolute orientation should be preceded. This study aims to automate interior orientation and relative orientation process. For this purpose, we applied Hough transform to interior orientation process and object space matching technique to relative orientation process. As the result of this study, we can present a method to automate interior and relative orientation process that has been semi-automatically operated in most commercial digital photogrammetric workstations currently available.

• Journal of Korea Multimedia Society
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• v.7 no.4
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• pp.474-483
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• 2004

In this paper, we present a new Practical implementation of a person verification system using the profile of 3-dimensional(3D) face images based on weighted Hausdorff distance(WHD) used depth information. The approach works on finding the nose tip have protrusion shape on the face using iterative selection method to use a fiducial feint and extract the profile image from vertical 3D data for the nose tip. Hausdorff distance(HD) is one of usually used measures for object matching. This works analyze the conventional HD and WHD, which the weighted factor is depth information. The Ll measure for comparing two feature vectors were used, because it is simple and robust. In the experimental results, the WHD method achieves recognition rate of 94.3% when the ranked threshold is 5.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.11B
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• pp.1339-1345
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• 2011

Red tide is a natural phenomenon that change sea color by harmful algal blooms. There have been many studies on red tide due to increasing of red tide damage. However, to automatically classify the red tide algae is not enough. Recognition of red tide algae is difficult because they do not have matching center features for recognizing algae image object. Previously studies are used a few type of red tide algae for classification. In this paper, we proposed the red tide algae recognition method using PCA and roundness of image objects.

• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.1977-1978
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• 2006

This paper discusses the method of vision based sensor fusion system for biped robot walking. Most researches on biped walking robot have mostly focused on walking algorithm itself. However, developing vision systems for biped walking robot is an important and urgent issue since biped walking robots are ultimately developed not only for researches but to be utilized in real life. In the research, systems for environment recognition and tele-operation have been developed for task assignment and execution of biped robot as well as for human robot interaction (HRI) system. For carrying out certain tasks, an object tracking system using modified optical flow algorithm and obstacle recognition system using enhanced template matching and hierarchical support vector machine algorithm by wireless vision camera are implemented with sensor fusion system using other sensors installed in a biped walking robot. Also systems for robot manipulating and communication with user have been developed for robot.

• Journal of the Korea Society of Computer and Information
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• v.12 no.6
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• pp.147-152
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• 2007

Face detection is a crucial part of the face recognition system. It determines the performance of the whole recognition system. Hausdorff distance metric has been used in face detection and recognition with good results. It defines the distance metric based only on the geometric similarity between two sets or points. However, not only the geometry but also the local patterns around the points are available in most cases. In this paper a new Hausdorff distance measure is proposed that makes hybrid use of the similarity of the geometry and the local patterns around the points. Several experiments shows that the new method outperforms the conventional method.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.5
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• pp.23-29
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• 2011

There have been many studies on red tide due to increasing damage from red tide on fishing and aquaculture industry. However, internal study of automatic red tide image classification is not enough. Recognition of red tide algae is difficult because they do not have matching center features for recognizing algae image object. Previously studies used a few type of red tide algae for image classification. In this paper, we proposed the red tide image recognition method using semantic features of NMF and roundness of image objects.

• Journal of the Korean Society of Costume
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• v.38
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• pp.143-157
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• 1998

This research is to aim at presenting arrangement of colors, visual and symbolic through combined coupling ofI-Ging and Sackdong. This combined couplings is attempted to be approached by the following 4 conceptual steps :ⅰ) Is it appropriate to even try to coupleI-Ging with Sackdong\ulcorner ⅱ) Is the basic structure of Kwai an object of stripe colorizing\ulcorner ⅲ) What are the fundamental colors for this purpose\ulcorner ⅳ)combined of Kwai and the fundamental colors. Theoretical background for this study is as follows.ⅰ) Color accord and arrangements of existing Sackdong. ⅱ) An attempt to coupleI-Ging with Sackdong The purpose of this research is to expand concrete concept of Sackdong, which is to be utilized not only in costume design, but in the whole realm of design, by presenting feasible application of stripe coloredI-Ging. The summary of conclusion of this research is as follows. A. Is this aforementioned attempt academic\ulcorner B. Standardization of stripe-coloring is essential. Furthurmore we can conclued that the under-standing ofI-Ging and its basic philosophical background and the fundamental mechanism of colors in traditional costumes is necessary condition for standardization of Kwai. Along this path, however, conditions to be satisfied and priorities to be given depend upon the decision of an individual or a group. In my view, sripe-colorizing of 64 Kwais ofI-Ging followed by intuitive matching of colors with the in-terpretation of Kwais seems to be the most appropriate solution.

• Proceedings of the KSPS conference
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• 2007.05a
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• pp.158-162
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• 2007

Anomia, word finding difficulty, is one of the most common feature in aphasia. Previous studies support that the process of picture naming consists of three stages, in the order of the object recognition, semantic, and phonological output stages. Anomic patients have many symptoms and it means that anomia can be sub-divided into several symptom groups. Our anomia assessment battery consists of several parts: (1) picture naming set, (2) picture-word matching task, (3) lexical decision task for mental lexicon damage, (4) naming task for phonological lexicon damage, and (5) semantic decision task. Pictures and words were selected on the basis of usage frequency, semantic category, and word length. We administered this anomia evaluation battery to many anomic aphasics and we subdivided patients into several groups. We hope that our anomia evaluation set is useful and helpful for evaluation anomic aphasics