Human action recognition using 2-D spatio-temporal templates

Duan Yu Chen, Sheng Wen Shih, Hong Yuan Mark Liao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

39 Citations (Scopus)

Abstract

A framework for human action modeling and recognition in continuous action sequences is proposed A star figure enclosed by a bounding convex polygon is used to effectively represent the extremities of the silhouette of a human body. Thus, human actions are recorded as a sequence of the star figure's parameters, which is then used for action modeling. To model human actions in a compact manner while characterizing their spatio-temporal patterns, star figure parameters are represented by a 2-D feature map, which is used and regarded as a spatio-temporal template. Experiments to evaluate the performance of the proposed framework show that it can recognize human actions in an efficient and effective manner.

Original languageEnglish
Title of host publicationProceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007
PublisherIEEE Computer Society
Pages667-670
Number of pages4
ISBN (Print)1424410177, 9781424410170
DOIs
Publication statusPublished - 2007
EventIEEE International Conference onMultimedia and Expo, ICME 2007 - Beijing, China
Duration: Jul 2 2007Jul 5 2007

Publication series

NameProceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007

Conference

ConferenceIEEE International Conference onMultimedia and Expo, ICME 2007
Country/TerritoryChina
CityBeijing
Period7/2/077/5/07

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software

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