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Journal Article A Review on Video-Based Human Activity Recognition
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Authors
Shian-Ru Ke, Hoang Le Uyen Thuc, Yong-Jin Lee, Jenq-Neng Hwang, Jang-Hee Yoo, Kyoung-Ho Choi
Issue Date
2013-06
Citation
Computers, v.2, no.2, pp.88-131
ISSN
2073-431X
Publisher
MDPI
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.3390/computers2020088
Project Code
13VS1100, Development of Basic Technology of Human Identification and Retrieval at aDistance for Active Video Surveillance Service with Real-time Awareness of S, Yoo Jang-Hee
Abstract
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.
KSP Keywords
Activity Detection, Activity recognition systems, Classification algorithm, Crowd Behavior, Feature extractioN, Healthcare Systems, Healthcare monitoring, Human activity recognition(HAR), Monitoring system, Object segmentation, detection and classification
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
CC BY