ScholarWorks@Hongik: Cho, Seong won

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Cho, Seong won (조성원)

Engineering (Electronic & Electrical Engineering)

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MFCC:12||EBGM:9||Face Recognition:9||PIR:6||AAM:6||Neural Networks:6||얼굴 검출:5||iris recognition:5||Infrared thermography:4||Illumination Normalization:4||Face detection:4||얼굴 인식:4||딥러닝:4||가버 특징 벡터:4||신경회로망:4||PCA:4||침입감지:3||얼굴인식:3||Deep Learning:3||AdaBoost:3||RTP:3||템플릿 매칭:3||IP Network Camera:3||얼굴 식별:3||가버 웨이블렛:3||아다부스트:3||CNN:3||RTSP:3||AAC:3||Template matching:3||Iris Recognition:3||feature extraction:2||Background Modeling:2||Intruder Detection:2||Face recognition:2||Eigenfaces:2||인공 신경망:2||Character Recognition:2||Adaboost:2||object tracking:2||Electric Load:2||전기부하:2||Forced convection:2||LSTM:2||GMM:2||robust pattern recognition:2||조명 정규화:2||Background Subtraction:2||ResNet:2||Anisotropic Smoothing:2||SSD:2||speaker verification:2||SSDMobilenet:2||template:2||translationinvariant wavelet transform:2||판별 방법:2||SfM:2||Biometrics:2||AMR:2||Simplified MFCC:2||License Plate Detection:2||.Active thermography:2||객체분류:2||Solar radiation:2||CAMshift:2||Gabor feature vector:2||Gabor features:2||Eye Localization:2||눈 모델 번치:2||다중스케일:2||Thermal image:2||MPEG2TS:2||H.264:2||Variable Threshold. Waveform Simplification. Feature Extraction.:2||Face Alignment:2||MobileNet:2||Face Identification:2||Visual Surveillance:2||변형 MFCC:2||Modified MFCC:2||Weather condition:2||Wind speed:2||Motion Detection:2||adaptive 3frame difference:2||background subtraction:2||High Traffic Region:2||Illumination:2||Multimedia Streaming:2||신호처리:2||Nondestructive testing:2||Image Segmentation:2||Cast resin molded transformer:2||Mahalanobis Distance:1||Mask RC:1||Meter:1||Model Matching:1||Motion Template:1||Moving Object Detection:1||MultiScale Approach:1||Multiscale:1||Multimedia Decoding:1||Multiresolution projection:1||Multiscale laplacian kernel:1||Noise:1||Numeric Character Segmentation:1||Numeric Recognition:1||Object Classification:1||Object Detection:1||Object Tracking:1||Oebcjt Classification:1||OmniDirectional Camera:1||Optimization:1||PTZ Camera(PTZ 카메라):1||PTZ camera:1||Pattern Claisfsication:1||Periodical inspection:1||Polygonal surface:1||Pose Estimation:1||Prediction Method S:1||Remeshing:1||Robust:1||Shiftinvariant:1||Signal Processing:1||Smart card:1||Sound Data Set:1||Sound Detection:1||Sound Source Localization(음원 위치 검출):1||Subdivision:1||Texture Blending:1||Train:1||Transport stream (TS):1||UI:1||UX:1||Vehicle License Plate Recognition:1||Vehicle detection:1||Vehicle tracking:1||Video Surveillance:1||Wavelet:1||Zero phase current:1||Zoom Tracking:1||competitive learning:1||continuous wavelet transform:1||convolutional neural network:1||curve optimization:1||embedded board:1||face common feature:1||face distinctive identity feature:1||face identification:1||face identity texture subspace:1||face intrinsic identity:1||face recognition:1||face texture modeling:1||facial feature detection:1||feature representation:1||fuzzy control:1||genetic algorithm:1||ignal Processing:1||iris segmentation:1||model matching:1||multiresolution projection:1||multiscale:1||neural network:1||neural networks:1||optimization:1||phase advance capacitors:1||polygonal surface:1||power factor control:1||remeshing:1||shiftinvariant:1||shiftinvariant wavelet transform:1||similarity measure:1||sound classification:1||sound source localization:1||subdivision:1||가버 유사도:1||가버젯 유사도:1||간략화된 MFCC:1||객체 추적:1||객체 탐색:1||경량화:1||계량기:1||계층. 혼잡한 환경 모델링. 가우시안 혼합 모델:1||고유얼굴:1||눈 검출:1||눈좌표 검출:1||단순화한 MFCC:1||마할라노비스 거리:1||멤버십 인증:1||모델 매칭:1||모션 템플리트:1||문자 검출:1||문자 인식:1||문자인식:1||문자특징 추출:1||번호판 검출:1||번호판 인식:1||변조영상 검출:1||부분특징:1||분류:1||비정형:1||색 히스토그램:1||생체 정보:1||생체인식:1||서포트 벡터 머신:1||숫자 인식:1||스마트 카:1||스마트 카드:1||시나리오:1||신원확인:1||앙상블 학습:1||얼굴 위장 검출:1||얼굴 윤곽 추출:1||얼굴 인증:1||얼굴 텍스쳐:1||얼굴 텍스쳐 공간 모델링:1||얼굴검출:1||얼굴식별:1||역전파:1||연결요소 레이블링:1||영상 감시:1||영상 분할:1||영상처리 결합:1||예측방법:1||원격 자동 검침:1||음향 데이터:1||임베디드:1||임베디드 보드:1||자동차 번호판 검출:1||자동차 번호판 인식:1||자동차 번호판 인식 시스템:1||적응이진화:1||전기사고:1||전기적 이상상태:1||전처리:1||조명:1||조명 전처리:1||증강:1||지문인식:1||차량 감지:1||차량 추적:1||컨텍스트:1||크기불변특징변환:1||클래스 구별 특징 벡터:1||텍스쳐 합성:1||특징벡터:1||패턴분류:1||퍼소나:1||하웨이블렛:1||학습:1||홍채 영역 분리:1||홍채인식:1||홍채패턴:1||2D data:1||2D PCA:1||2차원 변환:1||2차원 이미지:1||3D Face Modeling:1||3D Reconstruction:1||3D Shape Modeling:1||3D 복원:1||3D 얼굴 모델링:1||3D 형상 모델:1||AGMM:1||AGMM (Adaptive Gaussian Mixture Model):1||AdaBoosting:1||Adaboosting:1||Anisotropic smoothing:1||Audio Surveillance(오디오 감시):1||Augmentation:1||Autofocus:1||Background Sound:1||Biometric information:1||Blob Segmentation:1||CNN (Convolutional Neural Networks):1||Capacitance:1||Cast Shadow Removal:1||Character Detection:1||Character recognition:1||Character segmentation:1||Classicifation Method:1||Classification:1||Classification Method:1||Color Histogram:1||Complex Environment Modeling:1||Connected Component Labeling. Character Feature Extraction. Backpropagation:1||Dangerous Sound Detection(위험소리 검출):1||Deep learning:1||Demultiplex:1||Direction normalization:1||Electric Abnormal States:1||Electric Accident:1||Electric installation for general use:1||Embedded:1||Empty houses:1||Ensemble Learning:1||Eye Dection:1||Eye Model Bunch:1||Eye dection:1||Face Detection:1||Face Normalization:1||Face disguise detection:1||Face identification:1||Face identity texture subspace:1||Face normalization:1||Face texture modeling:1||Facial Feature Detection:1||Fake image detection:1||Feature vector:1||Gabor Feature Vector:1||Gabor Feature Vectors:1||Gabor Features Vectors:1||Gabor Jet Similarity:1||Gabor Wavelets:1||Gabor wavelet:1||Gabor wavelets:1||Gaussian Mixture Model:1||H.264/MPEG4:1||Haarwavelet. Face Detection:1||Hazardous:1||Hidden LMS adaptive algorithm:1||Human Detection:1||Illumination normalization:1||Illuminationrobustness:1||Image processing combination:1||Insulation
resistance:1||Intelligent Visual Surveillance:1||Intrusion Detection:1||Iris Pattern:1||Iris recognition:1||Iris segmentation:1||Irregular:1||LPC:1||Lane detection:1||Lane model fitting:1||Laplacian kernel:1||Layer:1||Licence plate recognition:1||License Plate Recognition:1||License plate recognition:1||Lightening:1||Line segment clustering:1||Line segment extraction:1||MPEG2 TS:1||

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