A practical approach to tracking aircraft with similar looking silhouettes while maintaining identification is proposed and simulated. Preprocessing is performed using moment invariants that are shown to be almost constant for images in which the object is translated in position, rotated, or changed in scale. These moment invariants are used to train a neural network to identify the aircraft for different aspect angles. Consequently, tracking of a specific aircraft is achieved no matter what the aspect angle, the position, rotation, or scale.
Neural Networks For Adaptive Shape Tracking
Advances in Image Compression and Automatic Target Recognition ; 1989 ; Orlando,FL,United States
Proc. SPIE ; 1099
1989-09-05
Conference paper
Electronic Resource
English
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