• Journal of Korea Multimedia Society
• /
• v.8 no.11
• /
• pp.1496-1509
• /
• 2005

In this paper, an adaptive license plate recognition system which detects and recognizes license plate at real-time by using projected plane convolution and Decision Tree Classifier is proposed. And it was tested in circumstances which presence of complex background. Generally, in expressway tollgate or gateway of parking lots, it is very difficult to detect and segment license plate because of size, entry angle and noisy problem of vehicles due to CCD camera and road environment. In the proposed algorithm, we suggested to extract license plate candidate region after going through image acquisition process with inputted real-time image, and then to compensate license size as well as gradient of vehicle with change of vehicle entry position. The proposed algorithm can exactly detect license plate using accumulated edge, projected convolution and chain code labeling method. And it also segments letter of license plate using adaptive binary method. And then, it recognizes license plate letter by applying hybrid pattern vector method. Experimental results show that the proposed algorithm can recognize the front and rear direction license plate at real-time in the presence of complex background environments. Accordingly license plate detection rate displayed $98.8\%$ and $96.5\%$ successive rate respectively. And also, from the segmented letters, it shows $97.3\%$ and $96\%$ successive recognition rate respectively.

• The Optical Journal
• /
• s.134
• /
• pp.26-31
• /
• 2011

레이저 프로젝터에서 스크린을 조사할 경우 원리적으로 광 손실이 크기 때문에 발생한 스펙클은 시간적으로 독립적인 다수의 스펙클 패턴을 화상에 중첩해서 그 평균 조작에 의해서만 본격적으로 저감할 수 있다. 평균조작에 대한 매우 높은 시간적 다중도를 실현하는 수단으로서 스크린 투영광로 중에 삽입한 확산판을 정현함수적으로 진동시키는 진동확산판 방식이 유망하다. 이 원고는 Kubota Shigeo 교수(도쿄대학 생산기술연구소 1부)가 월간 Optronics(통권 349호)에 기고한 내용으로, 필자는 향후 이러한 전자 액추에이터가 Miniature화 되고, 스펙클 저감 디바이스로서 보급되기를 바란다고 밝혔다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2001.04b
• /
• pp.481-483
• /
• 2001

본 논문에서는 동영상으로부터 색상, 서체, 크기와 같은 사전 지식 없이도 글자/자막을 효율적으로 추출하는 방법을 제안한다. 해상도가 낮고 복잡한 배경을 포함할 수 있는 비디오에서 글자 인식률 향상을 위해 먼저 동일한 텍스트 영역의 존재하는 프레임들을 자동적으로 추출한 후 이들의 시간적 평균영상을 만들어 향상된 영상을 얻는다. 평균영상의 외각선 영상의 투영 값을 통해 문자영역을 찾고 각 텍스트 영역에 대해 1차 배경제거 과정인 region filling을 적용하여 글자의 배경들을 제거 함으로써 글자를 추출한다. 1차 배경제거의 결과를 검증하고 추가적으로 k-means를 이용한 color clustering을 적용하여 남아있는 배경들을 효율적으로 제거 함으로써 최종 글자영상을 추출한다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
• /
• 2003.05a
• /
• pp.63-66
• /
• 2003

본 논문에서는 다면체의 인식을 위하여 사용되는 여러-방향-보기 방법 (multiple-view approach)에서 모델베이스의 탐색공간 크기를 줄이기 위한 방법을 제시한다. 이 방법에서 모델베이스는 물체를 둘러싸고 있는 보기 구 (view sphere)의 미리 정해진 보는 곳(viewpoint)에서 보여지는 2차원 투영체들로 구성된다. 물체를 인식하기 위하여 개략-상세 전략을 채택하되, 본 논문에서는 모델베이스의 개략 탐색을 위하여 ART-1을 이용하는 방법은 제시한다.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.16 no.28
• /
• pp.109-112
• /
• 1993

본 논문은 품절기간 중 수요의 일부는 부재고되고 나머지 일부는 유실되는 재고 모형을 제시한다. 부재고되는 수요량은 불확실하다. 따라서 부재고되는 수요의 양을 확률변수로 놓고, 부재고되는 수요량의 표준편차가 누적품절량의 크기에 비례하는 경우를 다루었다. 투영에 의한 분해법(decomposition by projection)을 사용하여 최적 재고 정책을 도출하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2019.05a
• /
• pp.587-589
• /
• 2019

템플릿 정합을 사용하는 영상인식 방법은 사용이 편리한 장점이 있지만, 템플릿과 정합 영상의 자세가 맞지 않으면 좋은 결과를 기대하기 어렵다. 이와 같은 단점을 보완하기 위해서 본 논문에서는 템플릿과 정합 영상 사이에 2 차원 방향과 크기에 차이기 있어도 성능이 유지될 수 있는 방안을 제시한다. 사용의 편의성을 고려하여, 템플릿 이외의 추가정보, 예를 들어 직교투영상의 거리 정보가 없어도 사용 가능하도록 알고리즘을 설계하는데 주력한다.

• The KIPS Transactions:PartB
• /
• v.14B no.1 s.111
• /
• pp.13-22
• /
• 2007

In this paper, we propose an audience counting method in an auditorium based on pattern comparison. The previous counting methods based on object detection can't exactly count the audience in real time because auditorium has coarse illumination condition and so many audiences. Therefore, in this paper, we count the audience in an auditorium with fixed seats by the method which the pattern from each reference seat is compared to the pattern from each input seat. Especially, to overcome limitations based on either illumination or noise, two pattern comparison methods are efficiently employed and combined. One is based on the amplitude projection, and the other is based on Walsh-Hadamard Kernel. Walsh-Hadamard Kernel has the characteristic which complements amplitude projection. Therefore, we ran achieve the accurate counting in the presence of coarse illumination and noise. The experimental results show that our method performs well on sequences of images acquired in an auditorium. We also verify a realistic possibility for other applications applying our method to the parking positioning system.

• Journal of Korea Multimedia Society
• /
• v.16 no.9
• /
• pp.1044-1056
• /
• 2013

This paper presents an approach for detecting and measuring human skin pigmentation. In the proposed scheme, we extract a skin area by a GMM-EM clustering based skin color model that is estimated from the statistical analysis of training images and remove tiny noises through the morphology processing. A skin area is decomposed into two components of hemoglobin and melanin by an independent component analysis (ICA) algorithm. Then, we calculate the intensities of hemoglobin and melanin by using the projection transformed block coefficient and determine the existence of skin pigmentation according to the global and local distribution of two intensities. Furthermore, we measure the area and density of the detected skin pigmentation. Experimental results verified that our scheme can both detect the skin pigmentation and measure the quantity of that and also our scheme takes less time because of the location histogram.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.21 no.3
• /
• pp.229-236
• /
• 2003

This study recorded an object using a digital video recorder, and then tried to estimate 3-D positional information and to reconstruct an image. Firstly, the accuracy of measurement results from a video recorder was evaluated and tested for an applicability, then it applied to a real object to construct 3-D digital model. This study assumed that there is no lens distortion in a video recorder, and all bundles should precisely pass through the projection center of a lens. The image size for orientations is determined by the size of CCD chip and the number of pixels. The average squared error from the result by a digital video recorder and that by triangular survey from 1-second theodolite shows 0.0173m error in x,y coordinates. Without knowing the accurate information on the lens distortion and the coordinates of the projection center, this study reasonably produces acceptable results in the reconstruction of 3-D model. In consequence, this study found that the image from a digital video camera can be reconstructed 3-D model only from the information on a camera type.

• The KIPS Transactions:PartB
• /
• v.9B no.4
• /
• pp.501-508
• /
• 2002

In this paper, we propose a content-based image retrieval using the color ratio and moment of object region. We acquire an optimal spatial information by the region splitting that utilizes horizontal-vertical projection and dominant color. It is based on hypothesis that an object locates in the center of image. We use color ratio and moment as feature informations. Those are extracted from the splitted regions and have the invariant property for various transformation, and besides, similarity measure utilizes a modified histogram intersection to acquire correlation information between bins in a color histogram. In experimental results, the proposed method shows more flexible and efficient performance than existing methods based on region splitting.