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학술지 A Review on Video-Based Human Activity Recognition
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저자
Shian-Ru Ke, Hoang Le Uyen Thuc, Yong-Jin Lee, Jenq-Neng Hwang, 유장희, Kyoung-Ho Choi
발행일
201306
출처
Computers, v.2 no.2, pp.88-131
ISSN
2073-431X
출판사
MDPI
DOI
https://dx.doi.org/10.3390/computers2020088
협약과제
13VS1100, 사람에 의한 안전위협의 실시간 인지를 위한 능동형 영상보안 서비스용 원거리 (CCTV 주간환경 5m이상) 사람 식별 및 검색 원천기술 개발, 유장희
초록
This review article surveys extensively the current progresses made toward video-based human activity recognition. Three aspects for human activity recognition are addressed including core technology, human activity recognition systems, and applications from low-level to high-level representation. In the core technology, three critical processing stages are thoroughly discussed mainly: human object segmentation, feature extraction and representation, activity detection and classification algorithms. In the human activity recognition systems, three main types are mentioned, including single person activity recognition, multiple people interaction and crowd behavior, and abnormal activity recognition. Finally the domains of applications are discussed in detail, specifically, on surveillance environments, entertainment environments and healthcare systems. Our survey, which aims to provide a comprehensive state-of-the-art review of the field, also addresses several challenges associated with these systems and applications. Moreover, in this survey, various applications are discussed in great detail, specifically, a survey on the applications in healthcare monitoring systems.
키워드
Feature representation, Healthcare monitoring, Human activity recognition, Human computer interface, Security surveillance, Segmentation
KSP 제안 키워드
Activity Detection, Activity recognition systems, Classification algorithm, Computer interface, Crowd Behavior, Feature extractioN, Feature representation, Healthcare Systems, Healthcare monitoring, Human activity recognition(HAR), Monitoring system
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