• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.1843_1844
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• 2009

본 논문에서는 영상처리 기술을 기반으로 한 내부 운전자에게 위협이 될 수 있는 금속 물체를 탐지하기 위한 실시간 시스템을 제안한다. 제안된 시스템은 퍼지 이론을 이용하여 금속물체를 탐지할 수 있는 색상 필터를 설계하여 사용하였다. 차량안의 특정 탐지 영역 내에서 FCF(Fuzzy Skin Filter)를 이용하여 운전자의 얼굴 영역을 탐지하고, 동승자가 위협을 가한다는 가정 하에 손 영역을 탐지한다. 탐지된 동승자의 손 영역을 중심으로 색상기반 원형 탐색기법을 사용하여 최종 금속물체의 후보영역을 설정하고, 금속물체 색상필터를 적용하여 최종적인 금속물체영역을 탐지 한다. 제안된 방법은 여러 실험을 통해 내부 운전자 보호를 위한 금속물체 탐지 시스템의 우수성을 증명한다.

• The Journal of the Korea Contents Association
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• v.11 no.10
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• pp.1-10
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• 2011

In this paper, we proposed the skin color based hand and finger detection technology for the gesture recognition in CCTV surveillance. The aim of this paper is to present the methodology for hand detection and propose the finger detection method. The detected hand and finger can be used to implement the non-contact mouse. This technology can be used to control the home devices such as home-theater and television. Skin color is used to segment the hand region from background and contour is extracted from the segmented hand. Analysis of contour gives us the location of finger tip in the hand. After detecting the location of the fingertip, this system tracks the fingertip by using only R channel alone, and in recognition of hand motions to apply differential image, such as the removal of useless image shows a robust side. We explain about experiment which relates in fingertip tracking and finger gestures recognition, and experiment result shows the accuracy above 96%.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.389-392
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• 2010

In this paper, it presents to detect location using structural information of hand from the input color images on Webcam and to recognize hand gestures. In this system, based on the skin color, the image changes a binary number and labels. Within each labeled area, we can find the Maximum Inscribed Circle using Voronoi Diagram. This circle can find the center of hand. And the circle extracts hand region from analyzing the ellipse elements to relate Maximum Inscribed Circle. We use the Maximum Inscribed Circle and the ellipse elements as characteristic of hand gesture recognition. In various environments, we cannot recognize the object that have similar colors like the background colors. But the proposed algorithm has the advantage that can be effectively eliminated about it.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.5
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• pp.609-614
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• 2009

The purpose of this paper is to design the metal object detection system for drive inside protection. To do this, we propose the algorithm for designing the color filter that can detect the metal object using fuzzy theory and the algorithm for detecting area of the driver's face using fuzzy skin color filter. Also, by using the proposed algorithm, we propose the algorithm for detecting the metallic object candidate regions. And, the metallic object color filter is then applied to find the candidate regions. Finally, we show the effectiveness and feasibility of the proposed method through some experiments.

• Proceedings of the KIEE Conference
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• 2006.07d
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• pp.1765-1766
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• 2006

색상 기반 손 탐색 알고리즘은 색상과 움직임 정보만을 사용하기 때문에 근처에 다른 사람의 손이 오는 경우 이를 구분하지 못하는 단점을 가진다. 본 논문에서는 이를 극복하기 위해 어깨선 추출을 이용한 보다 정확한 손 위치 파악 알고리즘을 개발하였다. 어깨선 추출 알고리즘은 목 바로 아래 어깨 점을 시작으로 원형의 탐색 공간을 각 원형으로 돌아서면서 탐색을 하는 방법으로 어깨선을 추출한다. 이때 탐색 영역안의 각각의 각들은 임의의 영역을 가진다. 이 영역들에서 우리가 정의한 에너지 함수에 의해서 에너지 값을 계산하게 된다. 최종적으로 에너지 값이 가장 큰 각으로 어깨선을 추출해 나가는 방법을 취한다. 이러한 알고리즘을 이용하여 실제 동영상 내에서의 어깨선 추출을 실험하고 제안된 알고리즘의 우수성을 증명한다.

• Journal of the Korea Society of Computer and Information
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• v.10 no.4 s.36
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• pp.47-56
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• 2005

With the development of wearable(ubiquitous) computers, those traditional interfaces between human and computers gradually become uncomfortable to use, which directly leads to a requirement for new one. In this paper, we study on a new interface in which computers try to recognize the gesture of human through a digital camera. Because the method of recognizing hand gesture through camera is affected by the surrounding environment such as lighting and so on, the detector should be a little sensitive. Recently, Viola's detector shows a favorable result in face detection. where Adaboost learning algorithm is used with the Haar features from the integral image. We apply this method to hand area detection and carry out comparative experiments with the classic method using skin color. Experimental results show Viola's detector is more robust than the detection method using skin color in the environment that degradation may occur by surroundings like effect of lighting.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.4
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• pp.318-324
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• 2017

We introduced a stereo camera on the aircraft to detect flight objects and to estimate the 3D position of them. The Saliency map algorithm based on PCT was proposed to detect a small object between clouds, and then we processed a stereo matching algorithm to find out the disparity between the left and right camera. In order to extract accurate disparity, cost aggregation region was used as a variable region to adapt to detection object. In this paper, we use the detection result as the cost aggregation region. In order to extract more precise disparity, sub-pixel interpolation is used to extract float type-disparity at sub-pixel level. We also proposed a method to estimate the spatial position of an object by using camera parameters. It is expected that it can be applied to image - based object detection and collision avoidance system of autonomous aircraft in the future.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.281-284
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• 2010

In this paper, we present Hand-gesture recognition for actual computing into color images from camera. Color images are binarization and labeling by using the YCbCr Color model. Respectively label area seeks the center point of the hand from to search Maximum Inscribed Circle which applies Voronoi-Diagram. This time, searched maximum circle and will analyze the elliptic ingredient which is contiguous so a hand territory will be able to extract. we present the presentation contral system using elliptic element and Maximum Inscribed Circle. This algorithm is to recognize the various environmental problems in the hand gesture recognition in the background objects with similar colors has the advantage that can be effectively eliminated.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1203-1206
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• 2012

본 논문은 다양한 기기로 구성된 분산 IT 환경에서 보다 신속한 장애 탐지 및 원인 파악을 위한 Monitoring framework을 제안한다. 제안된 Framework은 전통적인 Event Correlation 기법과 전통적 기법의 문제점 해결을 위한 Probing 기법을 혼용한(Hybrid) 것인데, 이를 통해 각각의 기법이 지닌 한계를 극복하고, 장애탐지 능력을 향상시킨다. 즉, Event Correlation 기법은 임계영역에서 장애 판별이 어려운 문제점이 있는데, 이러한 경우 장애 여부를 확신하기 위해 Probe station을 이용하여 Probe를 실행함으로써 장애 판단 능력을 향상시켰다. 또한 Probing 기법은 복잡한 분산 IT 환경에서 Probe Set를 구성하는 어려움이 있는데, 이를 회피하는데 도움을 준다. 본 논문에서는 Web 기반 애플리케이션에서 User-Session을 기반으로 추출한 Http Packet를 Probe set으로 이용하여 구현하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.9
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• pp.1120-1131
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• 2016

In this paper, we propose a smoker recognition algorithm, detecting smokers in a video sequence in order to prevent fire accidents. We use description-based method in hierarchical approaches to recognize smoker's activity, the algorithm consists of background subtraction, object detection, event search, event judgement. Background subtraction generates slow-motion and fast-motion foreground image from input image using Gaussian mixture model with two different learning-rate. Then, it extracts object locations in the slow-motion image using chain-rule based contour detection. For each object, face is detected by using Haar-like feature and smoke is detected by reflecting frequency and direction of smoke in fast-motion foreground. Hand movements are detected by motion estimation. The algorithm examines the features in a certain interval and infers that whether the object is a smoker. It robustly can detect a smoker among different objects while achieving real-time performance.