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Machine Recognition of Human Activities: A Survey

Turaga, Pavan, Chellappa, Rama, Subrahmanian, V. S., Udrea, Octavian·2008·IEEE Transactions on Circuits and Systems for Video Technology
DOI 10.1109/tcsvt.2008.2005594
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Abstract

The past decade has witnessed a rapid proliferation of video cameras in all walks of life and has resulted in a tremendous explosion of video content. Several applications such as content-based video annotation and retrieval, highlight extraction and video summarization require recognition of the activities occurring in the video. The analysis of human activities in videos is an area with increasingly important consequences from security and surveillance to entertainment and personal archiving. Several challenges at various levels of processing-robustness against errors in low-level processing, view and rate-invariant representations at midlevel processing and semantic representation of human activities at higher level processing-make this problem hard to solve. In this review paper, we present a comprehensive survey of efforts in the past couple of decades to address the problems of representation, recognition, and learning of human activities from video and related applications. We discuss the problem at two major levels of complexity: 1) "actions" and 2) "activities." "Actions" are characterized by simple motion patterns typically executed by a single human. "Activities" are more complex and involve coordinated actions among a small number of humans. We will discuss several approaches and classify them according to their ability to handle varying degrees of complexity as interpreted above. We begin with a discussion of approaches to model the simplest of action classes known as atomic or primitive actions that do not require sophisticated dynamical modeling. Then, methods to model actions with more complex dynamics are discussed. The discussion then leads naturally to methods for higher level representation of complex activities.

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Metadata

Authors
Turaga, P., Chellappa, R., Subrahmanian, V. S., & Udrea, O.
Venue
IEEE Transactions on Circuits and Systems for Video Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2008-11
Volume
18
Issue
11
Pages
1473-1488
ISSN
  • 1051-8215 (ISSN-L)
  • 1558-2205
DOI
10.1109/tcsvt.2008.2005594
OpenAlex
W2155268664
Cited by
1,333
References
4
FWCI
107.87
Type
journal article
Language
en
Open access
closed
Licence
ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)

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CoChat. (2026). Citation check: Machine Recognition of Human Activities: A Survey. https://app.cochat.ai/papers/10.1109/tcsvt.2008.2005594
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Turaga, P., Chellappa, R., Subrahmanian, V. S., & Udrea, O. (2008). Machine Recognition of Human Activities: A Survey. IEEE Transactions on Circuits and Systems for Video Technology. https://doi.org/10.1109/tcsvt.2008.2005594

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