A local feature-based human motion recognition framework

Yu Chun Lai*, Hong Yuan Mark Liao, Cheng-Chung Lin, Jian Ren Chen, Y. F.Peter Luo

*Corresponding author for this work

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

2 Scopus citations

Abstract

In this paper, we propose a local feature-based human motion analysis framework. Instead of using traditional analysis methods to characterize the global structure of human motion, we extract features directly from local regions that contain motion. To implement the above concept, we adopt the rules of visual attention theory, which assert that a human motion can be described simply by a set of local features comprised of spatial relationships rather than human postures. We select two kinds of features to represent the local variation of a human motion. First, we extract the long-term movement trend of the motion. The second feature is actually a set of rough features derived by sampling multi-scale moving edges. The two types of features are considered together during the recognition process. Our experiments demonstrate that the proposed approach can achieve very good recognition results.

Original languageEnglish
Title of host publication2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
Pages722-725
Number of pages4
DOIs
StatePublished - 26 Oct 2009
Event2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009 - Taipei, Taiwan
Duration: 24 May 200927 May 2009

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
CountryTaiwan
CityTaipei
Period24/05/0927/05/09

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  • Cite this

    Lai, Y. C., Liao, H. Y. M., Lin, C-C., Chen, J. R., & Luo, Y. F. P. (2009). A local feature-based human motion recognition framework. In 2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009 (pp. 722-725). [5117850] (Proceedings - IEEE International Symposium on Circuits and Systems). https://doi.org/10.1109/ISCAS.2009.5117850