• Korean Institute of Interior Design Journal
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• v.14 no.2 s.49
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• pp.188-196
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• 2005

The light has been considered as a main character that can not be omitted in architecture since ancient time. The recognition of space by light means that light makes the fictional space recognizable concretization. Light and shade make emptiness and substance can be easily recognized. Also reiteration and location of light and shade change the degree of acknowledgement. The character of light can strengthen or weaken the power of recognition concerning territory, direction and location. Also it can broaden, close, and segregate the domain and eventually strengthen recognition. In this study, I will try to find how space can be recognized with the help of light in architectural territories in terms of actual states. Also the main aim of my study will be the study of the light application in real space with the architectural example of space recognition by light and possible opportunity of it in space plan.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.11
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• pp.4556-4572
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• 2015

Dynamic texture (DT) recognition is a challenging problem in numerous applications. In this study, we propose a new algorithm for DT recognition based on group sparsity structure in conjunction with chaotic feature vector. Bag-of-words model is used to represent each video as a histogram of the chaotic feature vector, which is proposed to capture self-similarity property of the pixel intensity series. The recognition problem is then cast to a group sparsity model, which can be efficiently optimized through alternating direction method of multiplier algorithm. Experimental results show that the proposed method exhibited the best performance among several well-known DT modeling techniques.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.2
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• pp.1118-1133
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• 2017

Computer vision-based human activity recognition (HAR) has become very famous these days due to its applications in various fields such as smart home healthcare for elderly people. A video-based activity recognition system basically has many goals such as to react based on people's behavior that allows the systems to proactively assist them with their tasks. A novel approach is proposed in this work for depth video based human activity recognition using joint-based motion features of depth body shapes and Deep Belief Network (DBN). From depth video, different body parts of human activities are segmented first by means of a trained random forest. The motion features representing the magnitude and direction of each joint in next frame are extracted. Finally, the features are applied for training a DBN to be used for recognition later. The proposed HAR approach showed superior performance over conventional approaches on private and public datasets, indicating a prominent approach for practical applications in smartly controlled environments.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.32B no.9
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• pp.1171-1180
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• 1995

In this paper, we present a 3-D object recognition system in which the 3-D Hough transform domain is employed to represent the 3-D objects. In object modeling step, the features for recognition are extracted from the CAD models of objects to be recognized. Since the approach is based on the CAD models, the accuracy and flexibility are greatly improved. In matching stage, the sensed image is compared with the stored model, which is assumed to yield a distortion (location and orientation) in the 3-D Hough transform domain. The high dimensional (6-D) parameter space, which defines the distortion, is decomposed into the low dimensional space for an efficient recognition. At first we decompose the distortion parameter into the rotation parameter and the translation parameter, and the rotation parameter is further decomposed into the viewing direction and the rotational angle. Since we use the 3-D Hough transform domain of the input images directly, the sensitivity to the noise and the high computational complexity could be significantly alleviated. The results show that the proposed 3-D object recognition system provides a satisfactory performance on the real range images.

• Journal of the Institute of Convergence Signal Processing
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• v.5 no.2
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• pp.119-125
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• 2004

The direction component uses mainly the sobel and FFT method. The sobel method is difficult to set representative direction when we wish to extract representative direction when we wish to extract representative direction component and the complicated processing process of sobel mask because same value appears in the low provision image or high provision image and we cannot accumulate tilt size in case of making accumulate after making unit vector to pixel. The method that uses FFT conversion for direction extraction is possible in case that ridge has correct direction specification and must use a special direction filter. After thinning the binary image to supplement above weak point in the paper, we extract direction component by pixel unit, and we extract the most direction components of pixel that exist in block of 8${\times}$8 pixels size as representative direction of ridge.

• Korean Journal of Human Ecology
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• v.6 no.2
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• pp.15-26
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• 1997

The purpose of this study was to investigate the teacher's and parent's recognition of kindergarten and elementary school about the public education in early childhood education. Especially they included the recognition of concept and necessity, preconsideration, and the direction of future policy of early childhood education to public one. The subjects were 182 teachers and 190 parents in kindergarten and elementary school in Korea. The data was analyzed by Frequency, Percentage, and Chi-Square. The main results were as follows; 1. Teachers and parents defined the concept of public education of the early childhood education as a system which puts a direction in operation and support the finances of national and local government for public and private kindergarten. In addition, teachers and parents thought that the public education was necessary because early childhood was important in developmental aspects. 2. Teachers and parents insisted that the expansion of understanding about public education should be preconsidered and various early childhood programs should be developed. 3. Teachers and parents also agreed that the public education policy should be based on the model and should be progressed sequentially. But they distrusted the current policy.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.73-76
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• 2013

This paper proposes a tongue and its direction recognition algorithm which compares and estimates pixel distribution in the mouth area. As the size of smart phones grows, facial gesture control technology for a smart phone is required. Firstly, the nose area is detected and the mouth area is detected based on the ratio of the nose to mouth. After detecting the mouth area, it is divided by a pattern of grid and the distribution of pixels having the similar color to the tongue is tested for each segment. The recognition rate was nearly 80% in the experiments performed with five researchers among our laboratory members.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1820-1825
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• 2004

In this paper, we propose a humanoid active audition system which detects the direction of sound and performs speech recognition using just three microphones. Compared with previous researches, this system comprises simpler algorithm and better amplifier system having advantages to increase a detectible distance of sound signal in spite of simple circuit. In order to verify our system's performance, we install the proposed active audition system to the home service robot, called Hombot II, which has been developed at the KIST (Korea Institute of Science and Technology), thus we confirm excellent performance by experimental results

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.7
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• pp.1113-1119
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• 2002

In this paper, it was presented that broadly delivered scanner devices can also used in finger print recognition process and then modified existing steps of fingerprint image Processing. First, using the adaptive binary method, that effect was certified already, increased the effect of the results. And then, applying table mapping methods that looks for elements from look-up table, decreased the processing time, too. Finally, it was presented that ridge-direction characteristics extracted from these processes can used effectively In the area of fingerprint recognition system.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.8B
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• pp.1500-1505
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• 1999

In this paper, we presented the stereo algorithm for 3-D object recognition. In order to solve the problem for matching time in existed methods, we proposed the method which used the moving direction vector. On the other hand, after we extracted the moving vectors by moving direction of objects, rotated object was matched on axis of it. Using the Hough transform, we obtained the 2-D synthesed image as reference images corresponding to the rate of moving, and then compared with the unknown input images.