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 language||English (US)|
|Number of pages||5|
|Journal||Proceedings - International Conference on Image Processing, ICIP|
|State||Published - 1994|
|Event||Proceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, USA|
Duration: Nov 13 1994 → Nov 16 1994
Bibliographical noteFunding Information:
The second author was supported by ONR grant N00014-93-1-0485.