Multiscale approaches to target tracking in image sequences

Thomas G. Allen; Mark R. Luettgen; Alan S. Willsky

doi:10.1117/12.170052

15 March 1994 Multiscale approaches to target tracking in image sequences

Thomas G. Allen, Mark R. Luettgen, Alan S. Willsky

Proceedings Volume 2242, Wavelet Applications; (1994) https://doi.org/10.1117/12.170052
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

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.

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Thomas G. Allen, Mark R. Luettgen, and Alan S. Willsky "Multiscale approaches to target tracking in image sequences", Proc. SPIE 2242, Wavelet Applications, (15 March 1994); https://doi.org/10.1117/12.170052

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KEYWORDS

Optical flow

Detection and tracking algorithms

Image processing

Target detection

Algorithm development

Motion estimation

Image resolution

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