Spatio-temporal approach for time-varying image motion estimation

Wei Ge Chen, G. B. Giannakis, N. Nandhakumar

Research output: Contribution to journalConference articlepeer-review

9 Scopus citations

Abstract

Image motion estimation using the spatio-temporal approach has largely relied on the constant velocity assumption. Spatio-temporal algorithms are developed in this paper to handle time-varying motion. Time-variation is modeled either as a polynomial or as a periodic function of time. Under these models, it is shown that time-varying image motion estimation is equivalent to parameter estimation of one-dimensional polynomial phase or phase modulated signals. Simulation results are provided to illustrate the proposed algorithm.

Original languageEnglish (US)
Article number413566
Pages (from-to)232-236
Number of pages5
JournalProceedings - International Conference on Image Processing, ICIP
Volume2
DOIs
StatePublished - 1994
EventProceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, USA
Duration: Nov 13 1994Nov 16 1994

Bibliographical note

Funding Information:
The second author was supported by ONR grant N00014-93-1-0485.

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