• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.6 no.1
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• pp.1-5
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• 2013

The number of pedestrians is considered essential information which can be used to control a person who makes a entrance or a exit into a building. The number of pedestrians, also, can be used to help to manage pedestrian traffic and the volume of pedestrian flow within the building. Due to the fact there is incorrect detection by occluded, shadows, and illumination, however, difficulty can arise in existing system which is for detection and counts of a person who makes a entrance or a exit into a building. In this paper, it is minimized that the change of illumination and the effect of shadow through the transmitted image from camera which is created and processed with great adaptability. The accuracy of the calculations can be increase as well by using Kalman Filter and Mean-Shift Algorithm in order to avoid overlapped counts. As a result of the test, it is proved that the count method that shows the accuracy of 95.4% should be effective for detection and counts.

• Journal of Broadcast Engineering
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• v.7 no.3
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• pp.248-261
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• 2002

In this paper, we proposed a new 3-dimensional(3-D) object-tracking algorithm that can control a stereo camera using a variable window mask supported by which uses ,B-D information and an optical BPEJTC. Hence, three-dimensional information characteristics of a stereo vision system, distance information from the stereo camera to the tracking object. can be easily acquired through the elements of a stereo vision system. and with this information, we can extract an area of the tracking object by varying window masks. This extractive area of the tracking object is used as the next updated reference image. furthermore, by carrying out an optical BPEJTC between a reference image and a stereo input image the coordinates of the tracking objects location can be acquired, and with this value a 3-D object tracking can be accomplished through manipulation of the convergence angie and a pan/tilt of a stereo camera. From the experimental results, the proposed algorithm was found to be able to the execute 3-D object tracking by extracting the area of the target object from an input image that is independent of the background noise in the stereo input image. Moreover a possible implementation of a 3-D tele-working or an adaptive 3-D object tracker, using the proposed algorithm is suggested.

• Journal of Advanced Navigation Technology
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• v.15 no.6
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• pp.1132-1137
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• 2011

In this paper, we propose Modified Multi CAMShift Algorithm(Modified Multi Continuously Adaptive Mean Shift Algorithm) that extracts skin color area and tracks several human body parts for real-time human tracking system. Skin color area is extracted by filtering input image in predefined RGB value range. These areas are initial search windows of hands and face for tracking. Gaussian background model prevents search window expending because it restricts skin color area. Also when occluding between these areas, we give more weights in occlusion area and move mass center of target area in color probability distribution image. As result, the proposed algorithm performs better than the original CAMShift approach in multiple object tracking and even when occluding of objects with similar colors.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.2 no.1 s.2
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• pp.75-84
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• 2003

Current techniques for road-traffic monitoring rely on sensors which have limited capabilities, are costly and disruptive to install. The use of video cameras coupled with computer vision techniques offers an attractive alternative to current sensors. Video based traffic monitoring systems are now being considered key points of advanced traffic management systems. In this paper, we propose the new method which extract the traffic information using video camera. The proposed method uses an adaptive updating scheme for background in order to reduce the false alarm rate due to various noises in images. also, the proposed extraction method of traffic information calculates the traffic volume ratio of vehicles passing through predefined detection area, which is defined by the length of profile occupied by cars over that of overall detection area. Then the ratio is used to define 8 different states of traffic and to interpret the state of vehicle flows. The proposed method is verified by an experiment using CCTV traffic data from urban area.

• Journal of the Korean Institute of Telematics and Electronics D
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• v.36D no.8
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• pp.68-78
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• 1999

In the typical stereo vision system, when the focus points of the left and right images are mismatched or the moving object is not in the center of the image, not only the observer can be fatigued & unconscious of three-dimensional effect, but also hard to track the moving object. Therefore, the stereo object tracking system can be used to track the moving object by controlling convergence angle to minimize stereo disparity and controlling pan/tilt to locate moving object in the center of the image. In this paper, as a new approach to stereo object tracking system we introduce a stereo object tracking simulator based on the optical JTC system capable of adaptive tracking. By using this simulator, any kinds of experimental results can be predicted & analyzed and the processing if real-time implementation of stereo object tracking system is suggested through some optical experiments even if background noises exist.

• Journal of the Korea Society of Computer and Information
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• v.15 no.5
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• pp.57-65
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• 2010

In this paper, we propose a new real-time algorithm detecting the flame and smoke in digital CCTV images. Because the forest fire causes the enormous human life and damage of property, the early management according to the early sensing is very important. The proposed algorithm for monitoring forest fire is classified into the flame sensing and detection of smoke. The flame sensing algorithm detects a flame through the conditional test at YCbCr color model from the single frame. For the detection of smoke, firstly the background range is set by using differences between current picture and the average picture among the adjacent frames in the weighted value, and the pixels which get out of this range and have a gray-scale are detected in the smoke area. Because the proposed flame sensing algorithm is stronger than the existing algorithms in the change of the illuminance according to the quantity of sunshine, and the smoke detection algorithm senses the pixel of a gray-scale with the smoke considering the amount of change for unit time, the effective early forest fire detection is possible. The experimental results indicate that the proposed algorithm provides better performance than existing algorithms.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.5
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• pp.632-639
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• 2007

This paper presents a wavelet-based watermarking algorithm to securely hide biometric features such as face and fingerprint and effectively extract them with less distortion of the concealed data. To hide the biometric features, we proposed a determination method of insert location based on wavelet transform and adaptive weight method according to the image characteristics. The hidden features are effectively extracted by applying the inverse wavelet transform to the watermarked image. To show the effectiveness, we analyze the various performance such as PSNR and correlation of watermark features before and after applying watermarking. Also, we evaluate the effect of watermaking algorithm with respect to biometric system such as recognition rate. Recognition rate shows 98.67% for multimodal biometric systems consisted of face and fingerprint. From these, we confirm that the proposed method makes it possible to effectively hide and extract the biometric features without lowering recognition rate.

• Therapeutic Science for Rehabilitation
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• v.10 no.1
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• pp.53-61
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• 2021

Introduction : OMFT is a therapeutic technique based on sensorimotor, motor control and motor learning, and its major goal is to improve oral motor function. The oral motor conceptual hierarchical development is divided into 5 steps: 1) sensorimotor, 2) movement integration, 3) structural movement, 4) functional oral motor, and 5) comprehensive oral motor. Discussion : The OMFT consists of 3 techniques, 10 categories, and 50 sub-item. 1) Warming up technique: 2 categories, 12 sub-item, warming up by sensory awareness and adaptation, therapy situation adaptation, neck movement; 2) Key point technique: 7 categories, 30 sub-item, oral motor facilitation and increasing chewing skill by direct stroke of oral structures such as the face, lips, cheeks, gum, jaws, and tongue; 3) Application technique: 1 category, 8 sub-item, facilitate food intake and swallowing. Conclusion : The goal of this article is to introduce 3 techniques, 50 sub-item of OMFT, as a comprehensive oral motor therapy method, for application to clients. This article provides information that will help oral motor specialists in treating clients with oral motor problems more effectively and professionally.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.7 no.2
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• pp.203-212
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• 1996

In this thesis, we investigate the psychosocial variables within the family environments of Attention Deficit Hyperactivity Disorder with (ADHD+CD/ODD) or without (ADHD) externalizing symptoms. The subjects in this research were 86 boys and girls(aged range 6 to 14 years) consisted of 20 ADHD, 22 comorbid ADHD(ADHD+CD/ODD) and 44 normal control group(NC). We have collected data on children and their mothers. The psychosocial variables included in the analysis are socioeconomic status, parent's educational level, life stress event, and the rate of psychiatric disorders in relatives. The self-reported questionnaires marital discord(MAS), parenting stress(PSI), and parenting attitute(MBRI) completed by mothers. The results indicated that ADHD+CD/ODD is supposed to have higher level of family adversity suggested by the lower SES, lower parental educational level, higher life stress events, and more psychic disorders in relatives compared with ADHD or normal control group. In MAS, ADHD+CD/ODD group has significantly the lowest scores on each factor of the measure of marital adjustment. Parents of ADHD+CD/ODD are much more likely to have positive parenting stress when compared with the parents of ADHD. Especially, mothers of ADHD+CD/ODD have the lowest tendency in the mean score on affective, accepted attitudd. In an inapropriate parenting attitude perceived by children, father of ADHD+CD/ODD have the most negative, contradictory attitude and mothers of ADHD+CD/ODD have the most restrictive, negative and contradictory attitude.

• Annual Conference on Human and Language Technology
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• 2010.10a
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• pp.114-117
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• 2010

특정 대상 또는 외부 자극에 대해 반사적이고 직관적으로 발생하는 느낌으로 정의되는 감성은 자신의 경험을 바탕으로 개개인이 서로 다른 반응을 보이는 특징을 가진다. 이러한 감성은 맞춤형, 적응형 및 개인화된 서비스를 요구하는 현대사회에서 반드시 필요하고 연구되어야 하는 대상이다. 하지만, 감성은 외부 자극에 따라 빠르게 변하고 객관성을 유지하기 어려울 뿐 아니라 복합적으로 나타나기 때문에 측정하거나 표현하기가 매우 어렵다. 시각정보는 감성을 이해하고 전달하는 데 큰 비중을 차지하며, 대상에 대한 종합적인 정보를 전달하여 빠르게 인지하고 이해하는데 많은 도움을 준다. 그 중 색채정보는 대상의 객관적인 특정, 심리적 속성 및 사회적 배경을 반영할 수 있어 복합적인 감성을 효과적으로 표현하고 전달한다. 많은 연구를 통해 감성과 색채정보 간의 관계를 생성하고 정의하였지만, 단일 시각정보로 감성을 표현하는 것은 한계가 있다. 본 논문에서는 종합적인 시각정보를 고려한 감성연구를 제안하기 위해 대용량의 감성어휘와 이미지를 수집하였다. 감성어휘는 The Center for the Study of Emotion and Attention(CSEA)에서 생성한 균형 감성어휘 중 273개를 사용하였고 감성이미지는 객관성과 공통성을 유지하기 위해 사용자의 참여가 활발하고 이미지에 부착된 태그가 비교적 정확한 Flickr를 사용하여 수집하였다. 감성어휘 당 약 500개의 이미지를 수집하고자 시도하였고, 총 130,944개의 감성이미지 후보를 수집하였다. 한 번 수집된 이미지는 중복을 피하였고, JPEG형식으로 저장되어 있다. 또한, 각 이미지에는 사용자 태그가 평균적으로 약 25개가 포함되어 있고, 총 2,l47,645개의 태그를 수집하였다.