DocumentCode :
2769768
Title :
Connected vibrations: a modal analysis approach for non-rigid motion tracking
Author :
Tao, Hai ; Huang, Thomas S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
fYear :
1998
fDate :
23-25 Jun 1998
Firstpage :
735
Lastpage :
740
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
Keywords :
image sequences; least squares approximations; stochastic processes; tracking; connected 2D membrane patches; connected vibrations; global topological structure; image sequences; least square estimator; local motion estimator; local smoothness constraints; low-frequency vibration modes; modal analysis; modal analysis approach; non-rigid motion tracking; stochastic filtering technique; synthetic facial motion sequences; template matching algorithm; temporal continuity; Biomembranes; Deformable models; Fasteners; Image sequences; Least squares approximation; Linear systems; Modal analysis; Motion estimation; Robustness; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on
Conference_Location :
Santa Barbara, CA
ISSN :
1063-6919
Print_ISBN :
0-8186-8497-6
Type :
conf
DOI :
10.1109/CVPR.1998.698685
Filename :
698685
Link To Document :
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