Abstract
The possibility of using certain kinds of neural networks, shared weight neural networks, to recognize vehicles in IR images is investigated. We use the neural network as a preprocessor to find tank wheels in the images, followed by a more specific traditional search in the region(s) of interest found by the network; i.e., the neural network is used as a feature detector. In this way, although we train the networks on individual samples, we use the trained networks as nonlinear filters on entire images. The resulting system is tested on scale dependency and sensitivity to clutter in the background of images and performs adequately. © 1998 Society of Photo-Optical Instrumentation Engineers. (S0091-3286(98)01703-6)
Published Version
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