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Time-varying Shape Tensors for Scenes with Multiply Moving Points
Kauai, Hawaii December 08-December 14
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CVPR.2001.9905322001 IEEE Computer Society Conference ...
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Anat Levin, The Hebrew University
Lior Wolf, The Hebrew University
Amnon Shashua, The Hebrew University
We derive single view indexing functions for dynamic scenes - where dynamic is defined as a scene consisting of multiply moving points each moving independently with constant velocity. The indexing functions we derive are view independent and form a generalization of the "shape tensors" associated with rigid scenes by introducing a time-varying parameter. We derive those indexing functions under full 3D projective, 3D affine, and various reduced configurations.
The indexing functions were implemented and tested for matching against objects for which their non-rigid motion is an intrinsic part of their character - human gait recognition and hand gesture identification are the two chosen application examples.
Citation:
Anat Levin, Lior Wolf, Amnon Shashua, "Time-varying Shape Tensors for Scenes with Multiply Moving Points," cvpr, vol. 1, pp.623, 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1, 2001
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