Vision-based human activity recognition: a survey

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 w...

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Published inMultimedia tools and applications Vol. 79; no. 41-42; pp. 30509 - 30555
Main Authors Beddiar, Djamila Romaissa, Nini, Brahim, Sabokrou, Mohammad, Hadid, Abdenour
Format Journal Article
LanguageEnglish
Published New York Springer US 01.11.2020
Subjects
Computer Communication Networks
Computer Science
Data Structures and Information Theory
Multimedia Information Systems
Special Purpose and Application-Based Systems
Behavior understanding
Survey
Action detection
Human activity recognition
Computer Vision
Action representation
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Abstract 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.
AbstractList 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.
Author Nini, Brahim
Sabokrou, Mohammad
Beddiar, Djamila Romaissa
Hadid, Abdenour
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  surname: Beddiar
  fullname: Beddiar, Djamila Romaissa
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  organization: Research Laboratory on Computer Science’s Complex Systems, Larbi Ben M’hidi University, Center for Machine Vision Research, Computer Science and Engineering, University of Oulu
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  surname: Sabokrou
  fullname: Sabokrou, Mohammad
  organization: School of Computer Science, Institute for Research in Fundamental Sciences (IPM)
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  givenname: Abdenour
  surname: Hadid
  fullname: Hadid, Abdenour
  organization: Center for Machine Vision Research, Computer Science and Engineering, University of Oulu
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Keywords Behavior understanding
Survey
Action detection
Human activity recognition
Computer Vision
Action representation
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PublicationTitle Multimedia tools and applications
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Snippet Human activity recognition (HAR) systems attempt to automatically identify and analyze human activities using acquired information from various types of...
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SubjectTerms Computer Communication Networks
Computer Science
Data Structures and Information Theory
Multimedia Information Systems
Special Purpose and Application-Based Systems
Title Vision-based human activity recognition: a survey
URI https://link.springer.com/article/10.1007/s11042-020-09004-3
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