Time-varying shape tensors for scenes with multiply moving points

Anat Levin*, Lior Wolf, Amnon Shashua

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

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 3 D projective, 3 D 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.

Original languageEnglish
Pages (from-to)I623-I630
JournalProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume1
StatePublished - 2001
Event2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Kauai, HI, United States
Duration: 8 Dec 200114 Dec 2001

Fingerprint

Dive into the research topics of 'Time-varying shape tensors for scenes with multiply moving points'. Together they form a unique fingerprint.

Cite this