University of Oulu

Beddiar, D.R., Nini, B., Sabokrou, M. et al. Vision-based human activity recognition: a survey. Multimed Tools Appl 79, 30509–30555 (2020).

Vision-based human activity recognition : a survey

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Author: Beddiar, Djamila Romaissa1,2; Nini, Brahim1; Sabokrou, Mohammad3;
Organizations: 1Research Laboratory on Computer Science’s Complex Systems, Larbi Ben M’hidi University, Oum El Bouaghi, Algeria
2Center for Machine Vision Research, Computer Science and Engineering, University of Oulu, Oulu, Finland
3School of Computer Science, Institute for Research in Fundamental Sciences (IPM), Tehran Province, Iran
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 2.9 MB)
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Language: English
Published: Springer Nature, 2020
Publish Date: 2020-11-23


Human activity recognition (HAR) systems attempt to automatically identify and analyze human activities using acquired information from various types of sensors. Although several extensive review papers have already been published in the general HAR topics, the growing technologies in the field as well as the multi-disciplinary nature of HAR prompt the need for constant updates in the field. In this respect, this paper attempts to review and summarize the progress of HAR systems from the computer vision perspective. Indeed, most computer vision applications such as human computer interaction, virtual reality, security, video surveillance and home monitoring are highly correlated to HAR tasks. This establishes new trend and milestone in the development cycle of HAR systems. Therefore, the current survey aims to provide the reader with an up to date analysis of vision-based HAR related literature and recent progress in the field. At the same time, it will highlight the main challenges and future directions.

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Series: Multimedia tools and applications
ISSN: 1380-7501
ISSN-E: 1573-7721
ISSN-L: 1380-7501
Volume: 79
Issue: 41-42
Pages: 30509 - 30555
DOI: 10.1007/s11042-020-09004-3
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
Funding: Open access funding provided by University of Oulu including Oulu University Hospital.
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