Share Email Print
cover

Proceedings Paper

Multiscale approaches to target tracking in image sequences
Author(s): Thomas G. Allen; Mark R. Luettgen; Alan S. Willsky
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper, we discuss a novel multiscale algorithm for the detection of moving objects in a sequence of images. We model the apparent image motion (optical flow) with a class of multiscale stochastic models and use these to develop efficient estimation algorithms to compute the optical flow estimates, and to detect the presence of small moving objects within this flow. The algorithm has five clear advantages over existing approaches. First, it produces estimates of optical flow and associated covariances at multiple resolutions using explicit, multiscale statistical models. Second, it achieves substantial computational savings compared with existing optical flow techniques due to the fact that it has per pixel computational complexity--independent of image size. Third, it can track pixel-level motion over time using simple temporal dynamic models, improving the results over static edge and target detection algorithms. Fourth, it employs the multiscale error covariance information to identify the optimal resolution for flow estimation across the field of view, thus pinpointing regions in which motion can be localized to finer resolutions than other areas. Finally, it can generate spatial measurement residuals that highlight and enhance localized areas of optical flow discontinuity due to target motion. In this paper, the multiscale optical flow algorithm is defined and illustrated using a digital, grayscale image sequence of a helicopter. The results of this research clearly show the feasibility of enhanced target detection through the coherent processing of image sequences.

Paper Details

Date Published: 15 March 1994
PDF: 13 pages
Proc. SPIE 2242, Wavelet Applications, (15 March 1994); doi: 10.1117/12.170052
Show Author Affiliations
Thomas G. Allen, ALPHATECH, Inc. (United States)
Mark R. Luettgen, ALPHATECH, Inc. (United States)
Alan S. Willsky, Massachusetts Institute of Technology (United States)


Published in SPIE Proceedings Vol. 2242:
Wavelet Applications
Harold H. Szu, Editor(s)

© SPIE. Terms of Use
Back to Top