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Human activity analysis: A review

Authors:

M.S. RyooAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 43, Issue 3

Article No.: 16, Pages 1 - 43

https://doi.org/10.1145/1922649.1922653

Published: 29 April 2011 Publication History

Abstract

Human activity recognition is an important area of computer vision research. Its applications include surveillance systems, patient monitoring systems, and a variety of systems that involve interactions between persons and electronic devices such as human-computer interfaces. Most of these applications require an automated recognition of high-level activities, composed of multiple simple (or atomic) actions of persons. This article provides a detailed overview of various state-of-the-art research papers on human activity recognition. We discuss both the methodologies developed for simple human actions and those for high-level activities. An approach-based taxonomy is chosen that compares the advantages and limitations of each approach.

Recognition methodologies for an analysis of the simple actions of a single person are first presented in the article. Space-time volume approaches and sequential approaches that represent and recognize activities directly from input images are discussed. Next, hierarchical recognition methodologies for high-level activities are presented and compared. Statistical approaches, syntactic approaches, and description-based approaches for hierarchical recognition are discussed in the article. In addition, we further discuss the papers on the recognition of human-object interactions and group activities. Public datasets designed for the evaluation of the recognition methodologies are illustrated in our article as well, comparing the methodologies' performances. This review will provide the impetus for future research in more productive areas.

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Index Terms

Human activity analysis: A review
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Animation
      1. Motion capture
      2. Motion processing

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 43, Issue 3

April 2011

466 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/1922649

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Copyright © 2011 ACM.

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Publication History

Published: 29 April 2011

Accepted: 01 September 2009

Revised: 01 March 2009

Received: 01 May 2008

Published in CSUR Volume 43, Issue 3

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