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Multi-view human action recognition: A survey

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationProceedings - 2013 9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013
PublisherIEEE COMPUTER SOCIETY PRESS
Pages522-525
Number of pages4
ISBN (Print)9780769551203
DOIs
Publication statusPublished - 2013
Publication typeA4 Article in a conference publication
Event9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013 - Beijing, China
Duration: 16 Oct 201318 Oct 2013

Conference

Conference9th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2013
CountryChina
CityBeijing
Period16/10/1318/10/13

Abstract

While single-view human action recognition has attracted considerable research study in the last three decades, multi-view action recognition is, still, a less exploited field. This paper provides a comprehensive survey of multi-view human action recognition approaches. The approaches are reviewed following an application-based categorization: methods are categorized based on their ability to operate using a fixed or an arbitrary number of cameras. Finally, benchmark databases frequently used for evaluation of multi-view approaches are briefly described.

Keywords

  • Multi-view action recognition, review, survey