Connected vibrations: a modal analysis approach for non-rigid motion tracking

Hai Tao, Thomas S Huang

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

Abstract

A new framework is presented in this paper for tracking non-rigid motion in image sequences. This method models non-rigid motions as the deformations of connected 2D membrane patches. Local smoothness constraints for each patch are the low-frequency vibration modes obtained from modal analysis. These constraints are incorporated with the template matching algorithm into a local motion estimator. To maintain the global topological structure, different patches are connected together by hinges, which introduce additional constraints in the tracking process. The resulted over-constrained linear system is solved efficiently using a least square estimator. To improve the robustness of the tracker, stochastic filtering technique is employed to take advantage of the temporal continuity of the deformations. Promising results on both natural and synthetic facial motion sequences are demonstrated in this paper.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Pages735-740
Number of pages6
DOIs
StatePublished - Dec 1 1998
EventProceedings of the 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Santa Barbara, CA, USA
Duration: Jun 23 1998Jun 25 1998

Publication series

NameProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISSN (Print)1063-6919

Other

OtherProceedings of the 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CitySanta Barbara, CA, USA
Period6/23/986/25/98

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

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