Steepest gradient descent method for estimation of motion parameters from image sequences

Yusong Yu; Yi Lin Sun; Hui-Juan Liu

doi:10.1117/12.160475

29 October 1993 Steepest gradient descent method for estimation of motion parameters from image sequences

Yusong Yu, Yi Lin Sun, Hui-Juan Liu

Proceedings Volume 1977, Video Communications and PACS for Medical Applications; (1993) https://doi.org/10.1117/12.160475
Event: Video Communications and Fiber Optic Networks, 1993, Berlin, Germany

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.

Citation Download Citation

Yusong Yu, Yi Lin Sun, and Hui-Juan Liu "Steepest gradient descent method for estimation of motion parameters from image sequences", Proc. SPIE 1977, Video Communications and PACS for Medical Applications, (29 October 1993); https://doi.org/10.1117/12.160475

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