Broadcasting contents, Image recognition, Object-based, knowledge convergence, service platform
Funding Org.
미래창조과학부
Research Org.
한국전자통신연구원
Project Code
15MR3200, Development of Object-based Knowledge Convergence Service Platform using Image Recognition in Broadcasting Contents,
Cho Kee Seong
Abstract
I-2 해당 연도 추진 실적 1) 클라우드 기반 고속 객체 검출 기술 개발 계획 o 대용량 영상 데이터 수집, 정렬 및 저장 기술 - 영상 데이터 자동 확장 기술 개발 실적 o 대용량 학습용 영상/태깅 이미지 DB 구축 - 검출 및 식별을 위한 학습 데이터 수집 ● 스포츠 중계 영상에서 얼굴 클로즈업 샷 위주로 얼굴 영역 및 선수 정보 이미지 태깅 ● 스포츠 중계 영상 기반 실험을 위한 학습 DB 구축 ● 수집된 선수 영상 데이터의 태깅 정보를 이용한 선수 식별용 학습 영상 데이터 자동 확장 o DNN 학습을 위한 다시점/다자세 신체영역 신체 DB 약 50만장 구축
계획 o 방송 영상 특화 객체 검출 기술 개발 - 다각도 사람 검출 기술 개발 실적 o 방송 영상 특화 객체 검출 기술 개발 - Deep Convolutional Neural Network를 통한 다각도 얼굴 검출 기술 ● 생성된 학습 모델을 이용하여 convolutional neural network를 재구성하여 다각도 얼굴 검출 ● 영상 시퀀스 내 다양한 얼굴 각도의 이미지 학습을 통한 다각도 얼굴 검출 정확도 및 각도 범위 향상 ● 현재 성능: 약 ±67.5도 Yaw(좌우 얼굴 각도) 약 ±20도 Pitch(상하 얼굴 각도) 까지 변화된 얼굴 검출 (FERET database 기준)
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