Spatio-temporal approach for time-varying image motion estimation

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

doi:10.1109/ICIP.1994.413566

Spatio-temporal approach for time-varying image motion estimation

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

Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-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 language	English (US)
Article number	413566
Pages (from-to)	232-236
Number of pages	5
Journal	Proceedings - International Conference on Image Processing, ICIP
Volume	2
DOIs	https://doi.org/10.1109/ICIP.1994.413566
State	Published - 1994
Event	The 1994 1st IEEE International Conference on Image Processing - Austin, TX, USA Duration: Nov 13 1994 → Nov 16 1994

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© 1994 IEEE.

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10.1109/ICIP.1994.413566

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title = "Spatio-temporal approach for time-varying image motion estimation",

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.",

author = "Chen, \{Wei Ge\} and Giannakis, \{G. B.\} and N. Nandhakumar",

note = "Publisher Copyright: {\textcopyright} 1994 IEEE.; The 1994 1st IEEE International Conference on Image Processing ; Conference date: 13-11-1994 Through 16-11-1994",

year = "1994",

doi = "10.1109/ICIP.1994.413566",

language = "English (US)",

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AU - Chen, Wei Ge

AU - Giannakis, G. B.

AU - Nandhakumar, N.

PY - 1994

Y1 - 1994

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84999886489

UR - https://www.scopus.com/pages/publications/84999886489#tab=citedBy

U2 - 10.1109/ICIP.1994.413566

DO - 10.1109/ICIP.1994.413566

M3 - Conference article

AN - SCOPUS:84999886489

SN - 1522-4880

VL - 2

SP - 232

EP - 236

JO - Proceedings - International Conference on Image Processing, ICIP

JF - Proceedings - International Conference on Image Processing, ICIP

M1 - 413566

T2 - The 1994 1st IEEE International Conference on Image Processing

Y2 - 13 November 1994 through 16 November 1994

ER -

Spatio-temporal approach for time-varying image motion estimation

Abstract

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