Missile-tracking algorithm using target-adapted spatiotemporal wavelets

Fernando Mujica; Jean-Pierre Leduc; Mark J. T. Smith; Romain Murenzi

doi:10.1117/12.277126

23 June 1997 Missile-tracking algorithm using target-adapted spatiotemporal wavelets

Fernando Mujica, Jean-Pierre Leduc, Mark J. T. Smith, Romain Murenzi

Proceedings Volume 3069, Automatic Target Recognition VII; (1997) https://doi.org/10.1117/12.277126
Event: AeroSense '97, 1997, Orlando, FL, United States

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.

Citation Download Citation

Fernando Mujica, Jean-Pierre Leduc, Mark J. T. Smith, and Romain Murenzi "Missile-tracking algorithm using target-adapted spatiotemporal wavelets", Proc. SPIE 3069, Automatic Target Recognition VII, (23 June 1997); https://doi.org/10.1117/12.277126

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