Subspace analysis methods plus motion history image for human action recognition

Chunhua Du, Qiang Wu, Jie Yang, Xiangjian He, Yan Chen

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)


This paper proposes a new human action recognition method which deals with recognition task in a quite different way when compared with traditional methods which use sequence matching scheme. Our method compresses a sequence of an action into a Motion History Image (MHI) on which low-dimensional features are extracted using subspace analysis methods. Unlike other methods which use a sequence consisting of several frames for recognition, our method uses only a MHI per action sequence for recognition. Obviously, our method avoids the complexity as well as the large computation in sequence matching based methods. Encouraging experimental results on a widely used database demonstrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings - Digital Image Computing
Subtitle of host publicationTechniques and Applications, DICTA 2008
PublisherIEEE Computer Society
Number of pages6
ISBN (Print)9780769534565
Publication statusPublished - 2008
Externally publishedYes
EventDigital Image Computing: Techniques and Applications, DICTA 2008 - Canberra, ACT, Australia
Duration: 1 Dec 20083 Dec 2008

Publication series

NameProceedings - Digital Image Computing: Techniques and Applications, DICTA 2008


ConferenceDigital Image Computing: Techniques and Applications, DICTA 2008
CityCanberra, ACT

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications

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