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Proceedings Paper

Steepest gradient descent method for estimation of motion parameters from image sequences
Author(s): Yusong Yu; Yi Lin Sun; Hui-Juan Liu
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Paper Abstract

Bandwidth compression for high definition television (HDTV) relies heavily on 2-D motion parameter acquisition from image sequences. Wu et al. proposed a differential method for estimation of 2-D motion parameters. In this paper we will present a new iterative method to estimate the motion parameters. We take use of the square error of intensity of two successive frames of image in interested region as an energy function. The steepest gradient descent method is directly applied to the error function and an iterative algorithm without neglecting any terms involving high orders is established. A lot of simulation results show that the algorithm can be successfully applied to motion estimation from image sequences. Two typical tests are demonstrated in the paper. We expect to implement the algorithm on a neural network and realize simultaneous computation.

Paper Details

Date Published: 29 October 1993
PDF: 5 pages
Proc. SPIE 1977, Video Communications and PACS for Medical Applications, (29 October 1993); doi: 10.1117/12.160475
Show Author Affiliations
Yusong Yu, Shanghai Jiao Tong Univ. (China)
Yi Lin Sun, Shanghai Jiao Tong Univ. (China)
Hui-Juan Liu, Shanghai Jiao Tong Univ. (China)

Published in SPIE Proceedings Vol. 1977:
Video Communications and PACS for Medical Applications
Rudy A. Mattheus; Andre J. Duerinckx; Peter J. van Otterloo, Editor(s)

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