• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.3
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• pp.2185-2191
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• 2015

With the advance of the environment where we can get various multimedia contents, adult image detection has become an important issue these days. In this paper, we suggest a method of robustly detecting navel areas from input images which can be usefully utilized in adult image detection. The suggested algorithm first extracts face regions and extracts candidate nipple areas using a nipple map. Our method then selects only actual nipple regions by filtering candidate areas with geometrical features and an average nipple filter. Subsequently, the method robustly detects navel areas by using the structural relation with the nipple areas and applying edge and saturation images. Experimental results show that the suggested algorithm can effectively detect navel regions.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.46 no.3
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• pp.86-95
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• 2009

SIFT is an algorithm to extract vectors at pixels around keypoints, in which the pixel colors are very different from neighbors, such as vertices and edges of an object. The SIFT algorithm is being actively researched for various image processing applications including 3D image reconstructions and intelligent vision system for robots. In this paper, we implement a hardware to sift feature detection algorithm for real time processing in embedded systems. We estimate that the hardware implementation give a performance 25ms of $1,280{\times}960$ image and 5ms of $640{\times}480$ image at 100MHz. And the implemented hardware consumes 45,792 LUTs(85%) with Synplify 8.li synthesis tool.

• Journal of Broadcast Engineering
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• v.18 no.2
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• pp.185-195
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• 2013

In this paper, we propose a video summarization technique on a smartphone, based on spatiotemporal saliency. The proposed technique detects scene changes by computing the difference of the color histogram, which is robust to camera and object motion. Then the similarity between adjacent frames, face region, and frame saliency are computed to analyze the spatiotemporal saliency in a video clip. Over-segmented hierarchical tree is created using scene changes and is updated iteratively using mergence and maintenance energies computed during the analysis procedure. In the updated hierarchical tree, segmented frames are extracted by applying a greedy algorithm on the node with high saliency when it satisfies the reduction ratio and the minimum interval requested by the user. Experimental result shows that the proposed method summaries a 2 minute-length video in about 10 seconds on a commercial smartphone. The summarization quality is superior to the commercial video editing software, Muvee.

• The KIPS Transactions:PartB
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• v.19B no.2
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• pp.77-82
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• 2012

We carried out study to prove effectiveness as stimulating corresponding points to lung in hand to experiment applied analysis parameters for image and audio signals in this paper. To this end we collected facial image and voice before and after stimulating corresponding points to lung in hand to a male 20s 25 people. In addition, we analyzed change color, voice energy and speaking rate of right cheek area corresponding points to lung to suggest the theory of the Oriental medicine diagnosis based on data collected. As a result, after performing hand acupuncture, L value of right cheek area decreased average 2.33 and a value b value increased 0.76, 0.97 on average. In addition, size of voice energy increased average 0.42, speaking rate decreased average 0.07. In other words, effect of lung function was improved using hand acupuncture corresponding points to lung.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.10C
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• pp.964-972
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• 2006

The kidney keeps with close relationship in the internal organs, that the kidney function filtering eliminate the wastes to the urine on the processing to replace the old with the new blood. In case of these problem in the kidney, there is no way to catch out with self-awakening symptom except for serious illness. This problem can solve with keeping the systematic diagnosis method in the kidney trouble shooting. Under the circumstances, the importance of the diagnosis for the kidney disease is growing day after day. In this paper, among the great four diagnosises, using the way of ocular inspection & auscultation, we would like to propose rouble shooting in the way of the kidney. To do this, through the assistance of the input image, extract the value of the color with appropriate output, analysing the color of the face with related to the kidney, using the results we would like to get the accurate symptoms on the kidney's problems. Also, through analysing and comparing with the relationship the kidney and the signal of voice, we would like to realize the proof system of human health. Finally, we'd like to make proof of the usefulness for proposed method from this study.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.4
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• pp.9-18
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• 2011

In this paper, we propose a method which recognizes human activity using model-based gaze direction estimation in an indoor environment. The method consists of two steps. First, we detect a head region and estimate its gaze direction as prior information in the human activity recognition. We use color and shape information for the detection of head region and use Bayesian Network model representing relationships between a head and a face for the estimation of gaze direction. Second, we recognize event and scenario describing the human activity. We use change of human state for the event recognition and use a rule-based method with combination of events and some constraints. We define 4 types of scenarios related to the gaze direction. We show performance of the gaze direction estimation and human activity recognition with results of experiments.

• Conservation Science in Museum
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• v.6
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• pp.47-54
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• 2005

The elements of the pigments used on the wall painting in Ssangyeongchong (Tomb of Two Pillars) from Goguryeo in the Nampo area of Pyeongyang were analyzed to confirm their mineral compositions and features of the painting. Specifically, the non-destructive X-ray fluorescence spectrometer (XRF) was used. On the other hand, the mineral composition of the background and pigment layers were analyzed using an X-ray diffractometer (XRD). The results of these analyses suggested that the lips of the characters in the painting were painted with HgS, and their faces, painted with HgS(Cinnabar/ vermilion) mixed with CaCO₃. Note that lead white pigment [2PbCO₃·Pb(OH)₂] was found only on the bottom layer of the painting, indicating that the wall painting was likely to have been created using the Secco method.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.12
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• pp.2961-2967
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• 2014

Nowadays, a private protection act has come into effect which demands for the protection of personal image information obtained by the CCTV. According to this act, the object out of interest has to be mosaicked such that it can not be identified before the image is sent to the investigation office. Meanwhile, the demand for digital videos obtained by CCTV is also increasing for digital forensic. Therefore, due to the two conflicting demands, the demand for a solution which can automatically mask an object in the CCTV video is increasing and related IT industry is expected to grow. The core technology in developing a target masking solution is the object tracking technique. In this paper, we propose an object tracking technique which suits for the application of CCTV video object masking as a postprocess. The proposed method simultaneously uses the motion and the color information to produce a stable tracking result. Furthermore, the proposed method is based on the centroid shifting method, which is a fast color based tracking method, and thus the overall tracking becomes fast.

• The KIPS Transactions:PartB
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• v.13B no.2 s.105
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• pp.97-104
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• 2006

There is no method to control for the child efficiently when disease happens who cannot be able to express his symptoms. Therefore, doctor's diagnosis depends on inquiring from child's patients, that leads to wrong diagnosis result. For this, in this paper, we would like to develop child ocular inspection, auscultation diagnosis instruments, using Oriental medicine principle that living body signal of five organs and six hallow organs which reflects patients face and voice We would like to get more accurate diagnosis result for child's symptoms from doctor's intuition on the basis of diagnostic sight visualization, objectification, quantization itself. This paper develops color revision, YCbCr application, and face color selection and five sensory organs and nose or apex extraction method etc, in child ocular inspection by first work achievement sequence among the whole development systems. Also, in occasion of child auscultation, crying characteristics of colics through pitch, intensity and formant analysis is numerized and objectifies doctor's intuition through this. Finally, experiments are performed to verify the effectiveness of the proposed methods.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.11
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• pp.819-830
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• 2009

When simulating large crowds, it is inevitable that the models and motions of many characters will be cloned. McDonnell et al. analyzed user's perception to find cloned characters. They established that clones of appearance are far easier to detect than motion clones. In this paper, we expand McDonnell's research[1], with the focus on multiple clones and the appearance variety in real-time game environment. Introducing the perceptual organization, we show the appearance variety of crowd clones by using game items and texture modulation. Other factors that influence the ability to detect clones were examined, such as the moving direction and distance between character clones. Our results provide novel insights and useful thresholds that will assist in creating more realistic crowds of game environments.