• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 추계학술대회
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• pp.637-639
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• 2021

자율주행 연구가 활발히 진행되면서 ADAS(Advanced Driver Assistance System)에서 차량의 위치를 파악하고 경로를 유지하는데 차선 검출은 필수적인 기술이다. 차선 검출은 허프 변환과 RANSAC(Random Sample Consensus)과 같은 영상처리 알고리즘을 이용하여 검출한다. 본 논문은 라즈베리파이3 B+에 OpenCV를 이용하여 선형 도형 검출 알고리즘을 구현하고 있다. OpenCV 가우시안 블러 구조와 캐니 에지 검출을 통해 문턱값을 설정하였고, 선형 검출 알고리즘을 통한 차선 인식에 성공하였다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2004년도 SMICS 2004 International Symposium on Maritime and Communication Sciences
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• pp.106-109
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• 2004

Many reported methods assume that the faces in an image or an image sequence have been identified and localization. Face detection from image is a challenging task because of variability in scale, location, orientation and pose. In this paper, we present an efficient linear discriminant for multi-view face detection. Our approaches are based on linear discriminant. We define training data with fisher linear discriminant to efficient learning method. Face detection is considerably difficult because it will be influenced by poses of human face and changes in illumination. This idea can solve the multi-view and scale face detection problem poses. Quickly and efficiently, which fits for detecting face automatically. In this paper, we extract face using fisher linear discriminant that is hierarchical models invariant pose and background. We estimation the pose in detected face and eye detect. The purpose of this paper is to classify face and non-face and efficient fisher linear discriminant..

• 제어로봇시스템학회논문지
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• 제15권8호
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• pp.818-822
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• 2009

In this paper, we consider a decentralized observer design problem for fault detection in large-scaled linear time-invariant systems. Since the fault detection residual is desired to be sensitive on the fault, we use the H_ index performance criterion. Sufficient conditions for the existence of such an observer is presented in terms of linear matrix inequalities. Simulation results show the effectiveness of the proposed method.

• 디지털융복합연구
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• 제11권12호
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• pp.295-302
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• 2013

사람 검출은 정지된 영상 혹은 동영상으로부터 사람의 움직임이나 자세를 추정하고, 사람이 찾아질 경우 영상 내 사람의 좌표, 동작 인식, 보안관련 인증 등을 알아내는 기술로 정의된다. 이러한 사람 검출은 다른 객체의 검출이나 사람과 컴퓨터와의 상호작용, 동작 인식 등의 기초 기술로서 해당 시스템의 성능에 영향을 미치는 매우 중요한 변수 중에 하나이다. 그러나 영상 내의 사람은 움직임, 자세, 크기, 빛의 방향 및 밝기, 다른 객체와의 중복 등의 환경적 변화로 인해 사람 모양이 다양해지므로 정확하고 빠른 검출이 어렵다. 따라서 본 논문에서는 피셔의 선형 판별 분석을 이용하여 몇 가지 환경적 조건을 극복한 정확하고 빠른 사람 검출 방법을 제안한다. 제안된 방법은 사람 움직임 및 자세와 배경에 무관하게 빠른 시간 안에 사람을 검출하는 것이 가능하다. 이를 위해 계층적인 방법으로 사람 검출을 수행하며, 휴리스틱한 방법, 피셔의 판별 분석을 이용하여 사람 검출을 수행하고, 검색 영역의 축소와 선형 결정의 계산 시간의 단축으로 검출 응답 시간을 빠르게 하였다. 추출된 사람 영상에서 사람의 자세를 추정하고 사람의 영역을 검출함으로써 사람 정보의 사용에 있어 보다 많은 정보를 추출할 수 있도록 하였다.

• Journal of Communications and Networks
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• 제12권6호
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• pp.605-615
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• 2010

Intercarrier interference (ICI) in orthogonal frequency division multiplexing (OFDM) systems, which causes substantial performance degradation in time-varying fading channels, is analyzed. An equivalent spreading code formulation is derived based on the analogy of OFDM and code division multiple access (CDMA) systems. Techniques as linear multiuser detection in CDMA systems are applied to suppress the ICI in OFDM systems. The performance of linear detection, measured using multiuser efficiency and asymptotic multiuser efficiency, is analyzed given the assumption of perfect channel state information (CSI), which serves as an upper bound for the performance of practical systems. For systems without CSI, time domain and frequency domain channel estimation based linear detectors are proposed. The performance gains and robustness of a linear minimum mean square error (LMMSE) filter over a traditional filter (TF) and matched filter (MF) in the high signal-to-noise ratio (SNR) regime are demonstrated with numerical simulation results.

• 한국컴퓨터정보학회논문지
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• 제20권12호
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• pp.29-36
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• 2015

In this paper, we propose the horizontal line detection using the Haar-like features and linear regression in infrared images. In the marine environment horizon image is very useful information on a variety of systems. In the proposed method Haar-like features it was noted that the standard deviation be calculated in real time on a static area. Based on the pixel position, calculating the standard deviation of the around area in real time and, if the reaction is to filter out the largest pixel can get the energy map of the area containing the straight horizontal line. In order to select a horizontal line of pixels from the energy map, we applied the linear regression, calculating a linear fit to the transverse horizontal line across the image to select the candidate optimal horizontal. The proposed method was carried out in a horizontal line detecting real infrared image experiment for day and night, it was confirmed the excellent detection results than the legacy methods.

• 한국신뢰성학회지:신뢰성응용연구
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• 제14권1호
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• pp.37-43
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• 2014

This paper deals with a design of observer based fault detection filter for a boiler-turbine control system. The goal is to present a method for rapid sensor fault detection in order to enhance the reliability of boiler-turbine operation in the thermal power plant. Our fault detection filter can be designed via solutions of linear matrix inequalities. In order to demonstrate the efficacy of our design method, numerical simulations are provided.

• Smart Structures and Systems
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• 제26권1호
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• pp.23-33
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• 2020

Majority of the damage in engineering structures is nonlinear. Damage sensitive features (DSFs) extracted by traditional methods from linear time series models cannot effectively handle nonlinearity induced by structural damage. A new DSF is proposed based on vector space cosine similarity (VSCS), which combines K-means cluster analysis and Bayesian discrimination to detect nonlinear structural damage. A reference autoregressive moving average (ARMA) model is built based on measured acceleration data. This study first considers an existing DSF, residual standard deviation (RSD). The DSF is further advanced using the VSCS, and then the advanced VSCS is classified using K-means cluster analysis and Bayes discriminant analysis, respectively. The performance of the proposed approach is then verified using experimental data from a three-story shear building structure, and compared with the results of existing RSD. It is demonstrated that combining the linear ARMA model and the advanced VSCS, with cluster analysis and Bayes discriminant analysis, respectively, is an effective approach for detection of nonlinear damage. This approach improves the reliability and accuracy of the nonlinear damage detection using the linear model and significantly reduces the computational cost. The results indicate that the proposed approach is potential to be a promising damage detection technique.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
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• pp.229-232
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• 2003

In this paper, we present an efficient algorithm to detect microcalcifications ROI (Regions of Interest) in digital mammograms using Linear filters. To efficiently detect microcalcifications ROI, we used three sequential processes; preprocessing for breast area detection, modified multilevel thresholding, ROI selection using mean filter and linear filters.

• 한국통신학회논문지
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• 제32권2A호
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• pp.162-168
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• 2007

This paper proposes two detection algorithms for Multi-user Space Time Block Code systems. The first one is linear detection Gaussian Elimination algorithm, and then it combined with Ordered Successive Cancellation to get better performance. The comparisons between receiver and other popular receivers, including linear receivers are provided. It will be shown that the performance of Gaussian Elimination receiver is similar but more simplicity than linear detection algorithms and performance of Gaussian Elimination Ordered Successive Cancellation superior as compared to other linear detection method.