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.


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    Title :

    Neural Networks For Adaptive Shape Tracking


    Contributors:

    Conference:

    Advances in Image Compression and Automatic Target Recognition ; 1989 ; Orlando,FL,United States


    Published in:

    Publication date :

    1989-09-05





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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