Volume 6 Number 7 (Jul. 2011)
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JSW 2011 Vol.6(7): 1201-1208 ISSN: 1796-217X
doi: 10.4304/jsw.6.7.1201-1208

An Algorithm of Unsupervised Posture Clustering and Modeling Based on GMM and EM Estimation

Chuanxu Wang
Faculty of Informatics Qingdao University of Science & Technology, Qingdao, China

Abstract—This paper focuses on human posture clustering and modeling for human action recognition in the field of computer vision. Specifically we mainly talk about posture description with spatial temporal interesting point features rather than traditional posture segmentations; also we give the comparisons of four kinds of unsupervised clustering methods and continue to carry out unsupervised posture classifications based on Weizmann database. In the following we use GMMs based on EM algorithm to model each clustered posture type. Finally we test our method with Weizmann and KTH Action database. These experiments show its effectiveness and robustness.

Index Terms—unsupervised fuzzy clustering, GMMs, posture modeling, EM estimation


Cite: Chuanxu Wang, "An Algorithm of Unsupervised Posture Clustering and Modeling Based on GMM and EM Estimation," Journal of Software vol. 6, no. 7, pp. 1201-1208, 2011.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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