• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.267-268
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• 2012

본 논문에서는 Google사의 Project glass를 이용한 피아노 연습 어플리케이션을 제안한다. 하지만 아직 이 기기는 발매되지 않았기 때문에 안드로이드 모바일에서 제작중이다. 사용자악보를 database로 간단하게 관리하고, OpenCV라이브러리를 통해 실제 피아노의 위치와 건반을 인식하고, 손가락의 위치 파악과 소리 인식을 통하여 서로 인식한 정보의 일치여부를 확인한다. 그리고 증강현실 기술을 이용하여 게임적인 요소를 추가시켜서 보다 쉽고, 재미있게 실제 피아노 연습을 할 수 있다. 본 논문에서는 기존에 피아노 연주 연습하는 방식에서 IT기술을 접목시켜서, 교육과 기술발전에 기여할 수 있음을 보인다. 그리고 앞으로 영상처리 기술이 널리 사용될 것으로 예상되어 미리 기술을 학습하는 효과도 있다.

• Journal of information and communication convergence engineering
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• v.5 no.1
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• pp.50-53
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• 2007

This paper presents face features detection and a new physiological neuro-fuzzy learning method by using two-dimensional variances based on variation of gray level and by learning for a statistical distribution of the detected face features. This paper reports a method to learn by not using partial face image but using global face image. Face detection process of this method is performed by describing differences of variance change between edge region and stationary region by gray-scale variation of global face having featured regions including nose, mouse, and couple of eyes. To process the learning stage, we use the input layer obtained by statistical distribution of the featured regions for performing the new physiological neuro-fuzzy algorithm.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.05c
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• pp.170-175
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• 2002

영상분할이나 연결요소 추출 등에 의해 구해진 물체 영역의 경계 부분에 잔가지 모양으로 나타나는 잡영가지는 물체의 형상 특징 연산 및 인식 과정에서 오류를 일으키는 원인이 되므로 효과적으로 제거할 수 있는 방법이 필요하다. 기존의 연구에서는 한 픽셀 두께의 잡영가지만을 제거할 수 있는 방법이 제안되었다. 본 연구에서는 부분적으로 두 픽셀 이상이 뭉쳐져 둥그스름한 덩어리(blob, 블럽)를 형성하고 있는 잡영가지도 4-8-방향 윤곽선 추적에 의해 제거할 수 있는 방법을 제안한다. 먼저 잔가지를 구성하고 있는 픽셀과 물체 영역을 구성하는 픽셀을 개략적으로 분리한 후, 윤곽선 추적물 하면서 사용자가 정의한 크기보다 작은 블럽을 포항한 잔가지를 추출해낸다. 이어서, 이러한 잔가지를 사용자가 정의한 잡영가지의 크기와 비교하여 최종적으로 제거할 수 있도록 한다. 이와 같이 사용자 입력 변수에 따라 잡영가지에 대한 개념을 보다 확장하여 자유롭게 정의할 수 있도록 명시화 함으로써, 영상의 특성에 따라 보다 유연하게 잡영가지를 정의하여 제거할 수 있도록 하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.652-654
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• 2012

본 논문에서는 다중 심도 카메라 기반의 실시간 피플 카운팅 시스템을 제안 한다. 카메라 영상으로부터 사람을 감지하고 추적하는 시스템 및 그 방법에 관한 것으로, 피플 카운팅 시스템은 쇼핑몰이나 대형건물의 출입구 등과 같은 다양한 환경에 적용될 수 있다. 기존 피플 카운팅 시스템에서의 급격한 조명의 변화나 겹침 현상, 가림 현상에 대한 해결 방법으로, 다중 심도 카메라 환경에서 동일 객체 추적을 위해 RLM(Range Laser Method)를 적용하고, 조명 등 환경 변화에 강인한 배경 제거 및 물체 검출 기법으로 가우시안 혼합 모델(Gaussian Mixture Model)을 적용해 객체인식에 대한 정확도를 높인다. 또한, 객체를 블랍(Blob)으로 지정해 확장 칼만 필터(Extended Kalman Filter, EKF) 방법으로 객체를 추적한다. 본 제안은 피플 카운팅 시스템에의 객체 검출 및 인식에 대한 정확도를 향상시킬 수 있으리라 기대된다.

• Journal of Chest Surgery
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• v.30 no.12
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• pp.1225-1231
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• 1997

Spontaneous pneumothorax is the sudden collapse of a lung usually caused by air leakage from a subvisceral pleural blob. Responses to closed thoracostomy,thoracentesls and simple observation are usually prompt and effective. But in some cases, these are unsucceful and open thoracotomy is indicated. A clinical evaluation was performed on 242 cases(236 patients) of open thoracotomy in spontaneous pneumoth rax who were admitted and treated at department of Thoracic and Cardiovascular Surgery. Masan Samsung General Hospital during the past 9 years from January 1988 to December 1996. The results were as follows 1. The sex ratio was male predominance(M:F=11.7:1) 2. The most common age group were 2nd, 3rd decades(2nd=29.3%, 3rd=30.2%). 3. The most common chief complaints were chest pain and dyspnea(chest pain=41.7%. dryspnea= 36.8). 4. The etiologic factors of spontaneous pneumothorax were primary spontaneous pneumothorax(86.4%), tuberculosis(9.1%), COPD(3.7%) and pleuritis(0.8%). 5. The site of spontaneous pneumothorax was 52.1% in right, 45.4% in left and 2.5% in both. 6. The common indications of open thoracotomy were recurrence(44.2%), persistent air leakage(31.8%) and inadequate expansion(15.7%). 7. The operative procedures were bullectomy or mechanical pleurodesis through posterolateral thoracotomy or median sternotomy. 8. The most frequent location of bulla or blob were apical segme t oi RUL(35.1%) and apicoposterior segment of LUL(41.3 %). 9. The number of bulla or blob were mainly 1 to 5(88%), and there were no significant differences among operation indications. 10. The size of bulla or bleb were mainly below 5cm(81%)and small bulla($\leq$1cm) were predominant in recurrence group but large bulla(>5cm)were predominant in persistent air leakage and inadequate expansion group. 11. The pleural adhesion was seen in 54.5%.(Recurrence group 64.1%,Persistent air leakage group 51.9%,Inadequate expansion group 47.4%).

• Journal of Chest Surgery
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• v.37 no.5
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• pp.438-443
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• 2004

Background : The treatment strategy for urinary spontaneous pneumothorax has progressively changed with the introduction of video-assisted thoracic surgery (VATS). Recently, we modified the strategy of primary spontaneous pneumothorax. If the patient had mild dyspnea and the lung was minimally collapsed, 2 mm thoracoscopic examination was performed. If no blob or bullae was inspected, the intrathoracic air was evacuated through the 2 mm thoracoscopic troca without closed thoracostomy, and if the blob and bullae was noted, the 10 mm thoracoscopic bullecotomy was carried out immediately and also application of fibrin glue was substituted for pleural abrasion. We compared the clinical outcomes of modified treatment strategy with conventional strategy in primary spontaneous pneumothorax. Material and Method: Patients were divided into four groups. Group I (n=21) underwent 2 mm thoracoscopic examination. Group II (n=68) underwent closed thoracostomy. Group III (n=56) underwent VATS and application of fibrin glue. Group IV (n=87) underwent VATS and pleural abrasion. The duration of chest tube drainage, the duration of hospitalization and the recurrence rate were compared between group I and group II and between group III and group IV. Result: Mean age, sex, location of pneumothorax were not different in all groups. In group I, the blob or bullae were existed in 12 patients, In remaining 9 patients, the bleb or bullae was not inspected. The mean duration of hospitalization in 9 patients were 2.4 $\pm$1.0 day and in group II were 3.9$\pm$2.1 day (p=0.014). There was 1 case of recurrence among the 9 patients in group I and 26 recurrences in group II (p=0.149). The mean duration of chest tube drainage were not difference in group III and IV (group III: 2.8$\pm$1.8 day, group IV: 3.0$\pm$2.5 day). The mean duration of hospitalization was shorter in group III than group IV (group III: 5,6$\pm$2.7 day, group IV: 1.3$\pm$3.3 day)(p=0.002). There was no recurrence in group III and 7 recurrences in group IV (p=0.043). Conclusion: Our modified treatment strategy of primary spontaneous peumothorax was effective in short hospital course and low recurrence rate.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.801-805
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• 2006

In this paper, we describe a system of controlling the pictorial puzzle program using information of hand shape. We extract hand region using skin color information and then principal component analysis uses centroidal profile information which comes blob of 2D appearance for hand shape recognition. This method suit hand shape recognition in real time because it extracts hand region accurately, has little computation quantity, and is less sensitive to lighting change using skin color information in complicated background. Finally, we controlled a pictorial puzzle with using recognized hand shape information. This method has good result when we make an experiment on application of pictorial puzzle. Besides, it can use so many HCI field.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.10
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• pp.1095-1102
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• 2014

In this paper, We proposed the approach of GPU and motion vector to analysis the Human activity in real-time surveillance system. The most important part, that is detect blob(human) in the foreground. We use to detect Adaptive Gaussian Mixture, Weighted subtraction image for salient motion and motion vector. And then, We use motion vector for human activity analysis. In this paper, the activities of human recognize and classified such as meta-classes like this {Active, Inactive}, {Position Moving, Fixed Moving}, {Walking, Running}. We created approximately 300 conditions for the simulation. As a result, We showed a high success rate about 86~98%. The results also showed that the high resolution experiment by the proposed GPU-based method was over 10 times faster than the cpu-based method.

• Journal of the Korean Society for Precision Engineering
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• v.21 no.12
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• pp.92-99
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• 2004

The formation degree of sustain (ITO pattern) decides quality of PDP (Plasma Display Panel). For this reason, it makes efforts in searching defects more than 30 un as 100%. Now, the existing inspection is dependent upon naked eye or microscope in off-line PDP manufacturing process. In this study developed prototype inspection system of PDP 170 glass is based on line-scan mechanism. Developed system creates information that detects and sorts kinds of defect automatically. Designed inspection technology adopts multi-vision method by slip-beam formation for the minimum of inspection time and detection algorithm is embodied in detection ability of developed system. Designed algorithm had to make good use of kernel matrix that draws up an approach to geometry. A characteristic of defects, as pin hole, substance, protrusion, are extracted from blob analysis method. Defects, as open, short, spots and et al, are distinguished by line type inspection algorithm. In experiment, we could have ensured ability of inspection that can be detected with reliability of up to 95% in about 60 seconds.

• Journal of Korea Multimedia Society
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• v.10 no.6
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• pp.716-725
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• 2007

In this paper we describe a motion tracking algorithm for 3D human animation using stereo vision system. This allows us to extract the motion data of the end effectors of human body by following the movement through segmentation process in HIS or RGB color model, and then blob analysis is used to detect robust shape. When two hands or two foots are crossed at any position and become disjointed, an adaptive algorithm is presented to recognize whether it is left or right one. And the real motion is the 3-D coordinate motion. A mono image data is a data of 2D coordinate. This data doesn't acquire distance from a camera. By stereo vision like human vision, we can acquire a data of 3D motion such as left, right motion from bottom and distance of objects from camera. This requests a depth value including x axis and y axis coordinate in mono image for transforming 3D coordinate. This depth value(z axis) is calculated by disparity of stereo vision by using only end-effectors of images. The position of the inner joints is calculated and 3D character can be visualized using inverse kinematics.