A Review on Video-Based Human Activity Recognition

Computers

Shian-Ru Ke¹  Hoang Le Uyen Thuc²  Yong-Jin Lee¹  Jenq-Neng Hwang¹  Jang-Hee Yoo³ 

[1] Department of Electrical Engineering, University of Washington, Seattle, WA 98195-2500, USA; E-Mails:;Department of ETE, Danang University of Technology, Danang, Vietnam; E-Mail:;Video Surveillance Research Section, ETRI, 305-700 Daejeon , Korea; E-Mail:

关键词: human activity recognition;    segmentation;    feature representation;    security surveillance;    healthcare monitoring;    human computer interface;   

DOI  :  10.3390/computers2020088

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.