Joint sequential shape classification and piecewise elastic motion estimation

Feng Lv, Huijun Di, Yao Lu

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

Abstract

This paper proposes a novel motion model for classifying general non-rigid motion into piecewise elastic motion, so as to achieve the non-rigid motion estimation without any priori shape models. Three interrelated sub-problems have to be addressed: classifying the whole motion sequence, estimating motion inside each segment and connecting the piecewise motions. In this paper, a Markov chain is used to classify the motion into a pre-defined number of classes, at the same time the estimation of elastic motion in individual segments of the sequence, and then all piecewise motions are connected with the correspondence between neighbor frames. Finally, the experiment results on human motions show the capability and robustness of proposed algorithm.

Original languageEnglish
Title of host publicationProceedings - 2014 10th International Conference on Computational Intelligence and Security, CIS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages238-242
Number of pages5
ISBN (Electronic)9781479974344
DOIs
Publication statusPublished - 20 Jan 2015
Event10th International Conference on Computational Intelligence and Security, CIS 2014 - Kunming, Yunnan, China
Duration: 15 Nov 201416 Nov 2014

Publication series

NameProceedings - 2014 10th International Conference on Computational Intelligence and Security, CIS 2014

Conference

Conference10th International Conference on Computational Intelligence and Security, CIS 2014
Country/TerritoryChina
CityKunming, Yunnan
Period15/11/1416/11/14

Keywords

  • Elastic motion
  • Motion connection
  • Motion estimation
  • Shape classification

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Lv, F., Di, H., & Lu, Y. (2015). Joint sequential shape classification and piecewise elastic motion estimation. In Proceedings - 2014 10th International Conference on Computational Intelligence and Security, CIS 2014 (pp. 238-242). Article 7016891 (Proceedings - 2014 10th International Conference on Computational Intelligence and Security, CIS 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIS.2014.127