• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.632-635
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• 2003

This paper describes a system fur tracking multiple faces in an input video sequence using facial convex hull based facial segmentation and robust hausdorff distance. The algorithm adapts skin color reference map in YCbCr color space and hair color reference map in RGB color space for classifying face region. Then, we obtain an initial face model with preprocessing and convex hull. For tracking, this algorithm computes displacement of the point set between frames using a robust hausdorff distance and the best possible displacement is selected. Finally, the initial face model is updated using the displacement. We provide an example to illustrate the proposed tracking algorithm, which efficiently tracks rotating and zooming faces as well as existing multiple faces in video sequences obtained from CCD camera.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제3권1호
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• pp.87-92
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• 2003

This paper describes a system for tracking multiple faces in an input video sequence using facial convex hull based facial segmentation and robust hausdorff distance. The algorithm adapts skin color reference map in YCbCr color space and hair color reference map in RGB color space for classifying face region. Then, we obtain an initial face model with preprocessing and convex hull. For tracking, this algorithm computes displacement of the point set between frames using a robust hausdorff distance and the best possible displacement is selected. Finally, the initial face model is updated using the displacement. We provide an example to illustrate the proposed tracking algorithm, which efficiently tracks rotating and zooming faces as well as existing multiple faces in video sequences obtained from CCD camera.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2015년도 춘계학술대회
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• pp.586-589
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• 2015

손동작 식별 룰을 통한 컴퓨터의 프레젠테이션 제어 시스템을 제안한다. 발표자의 손 동작 식별을 위해 (일반적인 웹캠을 사용하여) 이미지를 입력받아 하르 분류기를 이용하여 사용자의 얼굴영역을 추출한다. YCbCr 컬러모델을 이용하여 손 영역을 추출한 후에 사용자의 얼굴과 손의 무게중심을 이용하여 손의 현재 움직임 상태와 위치를 판별 하였다. 사용자의 손이 모션 감지 룰에 적용되어 프레젠테이션 제어 명령이 실행된다. 제안하는 시스템은 모션 식별 룰을 이용하여 부가적인 기기를 사용하지 않고 배경의 복잡도에 독립적인 프레젠테이션을 제어가 가능한 시스템이다. 실험은 어두운 실내 분위기인 조도범위(lx) 15-20-30에서 프레젠테이션 실험을 통해 안정적인 제어동작을 확인하였다.

• Journal of information and communication convergence engineering
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• 제20권4호
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• pp.288-294
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• 2022

The media content market has been growing, as various types of content are being mass-produced owing to the recent proliferation of the Internet and digital media. In addition, platforms that provide personalized services for content consumption are emerging and competing with each other to recommend personalized content. Existing platforms use a method in which a user directly inputs video metadata. Consequently, significant amounts of time and cost are consumed in processing large amounts of data. In this study, keyframes and audio spectra based on the YCbCr color model of a movie trailer were extracted for the automatic generation of metadata. The extracted audio spectra and image keyframes were used as learning data for genre recognition in deep learning. Deep learning was implemented to determine genres among the video metadata, and suggestions for utilization were proposed. A system that can automatically generate metadata established through the results of this study will be helpful for studying recommendation systems for media super-personalization.

• Journal of information and communication convergence engineering
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• 제8권1호
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• pp.19-22
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• 2010

A finger language helping hearing impaired people in communication A sign language helping hearing impaired people in communication is not popular to ordinary healthy people. In this paper, we propose a method for real-time sign language recognition from a vision system using color information and fuzzy clustering system. We use YCbCr color model and canny mask to decide the position of hands and the boundary lines. After extracting regions of two hands by applying 8-directional contour tracking algorithm and morphological information, the system uses FCM in classifying sign language signals. In experiment, the proposed method is proven to be sufficiently efficient.

• 한국통신학회논문지
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• 제25권3B호
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• pp.557-564
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• 2000

This paper presents a watermarking algorithm for embedding visually recognizable pattern (Mark, Logo, Symbol, stamping or signature) into the image. first, the color image(RGB model)is transformed in YCbCr model and then the Y component is transformed into 3-level wavelet transform. Next, the values are assembled with pattern watermark. PN(pseudo noise) code at spread spectrum communication method and mutilevel watermark weights. This values are inserted into discrete wavelet domain. In our scheme, new calculating method is designed to calculate wavelet transform with integer value in considering the quantization error. and we used the color conversion with fixed-point arithmetic to be easy to make the hardware hereafter. Also, we made the new solution using mutilevel threshold to robust to common signal distortions and malicious attack, and to enhance quality of image in considering the human visual system. the experimental results showed that the proposed watermarking algorithm was superior to other similar water marking algorithm. We showed what it was robust to common signal processing and geometric transform such as brightness. contrast, filtering. scaling. JPEG lossy compression and geometric deformation.

• 한국컴퓨터정보학회논문지
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• 제23권9호
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• pp.1-6
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• 2018

In this paper, we propose a method dividing effectively the hand and fingers using general webcam. The method executes 4 times empirically preprocessing one to erase noise. First, it erases the overall noise of the image using Gaussian smoothing. Second, it changes from RGB image to HSV color model and YCbCr color model, executes a global static binarization based on the statistical value for each color model, and erase the noise through bitwise-OR operation. Third, it executes outline approximation and inner region filling algorithm using RDP algorithm and Flood fill algorithm and erase noise. Lastly, it erases noise through morphological operation and determines the threshold propositional to the image size and selects the hand and fingers area. This paper compares to existing one color based hand area division method and focuses the noise deduction and can be used to a gesture recognition application.

• 한국멀티미디어학회:학술대회논문집
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• 한국멀티미디어학회 2003년도 춘계학술발표대회논문집
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• pp.488-491
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• 2003

본 논문에서는 실시간 CCD 카메라 입력 영상으로부터 다중 컬러 정보를 이용하여 얼굴 영역을 검출 및 추적하고 기울어진 얼굴을 보정하는 알고리즘을 제안하였다. 제안한 알고리즘은 먼저 획득된 RGB 영상에서 YCbCr컬러 모델과 YIQ컬러 모델로 변환한 후 Cr성분과 I성분을 추출하여 얼굴 피부색을 검출, 얼굴 영역 추출에 사용하였다. 또한 추출된 얼굴 후보 영역에서 수평, 수직 투영(Projection)정보로부터 최종 얼굴 영역으로 검출한 다음 검출된 얼굴 중심 좌표와 이전에 검출된 얼굴 중심 좌표 값을 유클리드언 거리로 얼굴을 추적하였으며 검출된 얼굴로부터 레이블링(Labeling)기법으로 눈 특징자를 검출, 눈의 기울기 각도를 보정함으로써 얼굴 기울기를 보정하였다. 제안한 얼굴 추적 및 기울기 보정 알고리즘을 사용하여 실험한 결과 다중 색상 정보를 사용함으로써 주위환경 변화에 강인하게 실시간 얼굴 영역 김출 및 추적이 가능하였고, 기울어진 얼굴 영상을 자동 보정함으로써 인식에 용이하였다.

• 융합신호처리학회논문지
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• 제15권2호
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• pp.42-47
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• 2014

본 논문에서는 단일 카메라를 사용하여 사용자 검지 손가락 움직임과 손가락 개수의 인식을 기반으로 하는 손동작 게임 컨트롤러 인터페이스를 구현한다. 구현한 손동작 게임 컨트롤러 인터페이스는 검지 손가락 끝점의 위치 추적을 위해서 CAMShift(Continuously Adaptive Mean Shift) 알고리즘을 적용하고, 손가락 개수 인식을 위해서는 손 영역의 중심으로부터 이중 원형 추적(Double Circle Tracing)에 의한 교차정보를 이용한다. 이때 성능 향상을 위해서 RGB 입력 영상에 대해서 CAMShift 알고리즘 적용에는 HSI 컬러모델을 이중 원형 추적을 위해서는 YCbCr 컬러모델을 사용한다. 또한 인텔사의 OpenCV 라이브러리를 기반으로 C++언어를 사용하여 사격 시뮬레이터 게임을 제작하여 손동작 게임 컨트롤러 인터페이스의 성능을 평가하고 사용자 명령 컨트롤러로서의 유효성을 검증하였다. 그 결과 각 게임 컨트롤 모드별 평균 90% 이상의 인식률을 보였다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2007년도 하계종합학술대회 논문집
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• pp.251-252
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• 2007

The thesis proposed the Text Extraction Algorithm which is a text extraction algorithm which uses the Coiflet Wavelet, YCbCr Color model and the close curve edge feature of adaptive LoG Operator in order to complement the demerit of the existing research which is weak in complexity of background, variety of light and disordered line and similarity of text and background color. This thesis is simulated with natural images which include naturally text area regardless of size, resolution and slant and so on of image. And the proposed algorithm is confirmed to an excellent by compared with an existing extraction algorithm in same image.