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Proceedings Paper

Missile-tracking algorithm using target-adapted spatiotemporal wavelets
Author(s): Fernando Mujica; Jean-Pierre Leduc; Mark J. T. Smith; Romain Murenzi
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Paper Abstract

This paper presents new results on the tracking of ballistic missiles warheads using spatio-temporal wavelets. Here we focus our attention on handling more general classes of motion, such as acceleration. To accomplish this task the spatio-temporal wavelet transform is adapted to the motion parameters on a frame-by-frame basis. Three different energy densities, associated with velocity, location, and size, have been defined to determine motion parameters. We pointed out that maximizing these energy densities is equivalent to a minimum squared error estimation. Tracking results on synthetically generated image sequences demonstrate the capabilities of the proposed algorithm.

Paper Details

Date Published: 23 June 1997
PDF: 12 pages
Proc. SPIE 3069, Automatic Target Recognition VII, (23 June 1997); doi: 10.1117/12.277126
Show Author Affiliations
Fernando Mujica, Georgia Institute of Technology and Clark Atlanta Univ. (United States)
Jean-Pierre Leduc, Georgia Institute of Technology and Clark Atlanta Univ. (United States)
Mark J. T. Smith, Georgia Institute of Technology (United States)
Romain Murenzi, Clark Atlanta Univ. (United States)

Published in SPIE Proceedings Vol. 3069:
Automatic Target Recognition VII
Firooz A. Sadjadi, Editor(s)

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