Neural Networks For Adaptive Shape Tracking

Alastair McAulay; Ivan Kadar

doi:10.1117/12.960455

5 September 1989 Neural Networks For Adaptive Shape Tracking

Alastair McAulay, Ivan Kadar

Proceedings Volume 1099, Advances in Image Compression and Automatic Target Recognition; (1989) https://doi.org/10.1117/12.960455
Event: SPIE 1989 Technical Symposium on Aerospace Sensing, 1989, Orlando, FL, United States

Abstract

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.

Citation Download Citation

Alastair McAulay and Ivan Kadar "Neural Networks For Adaptive Shape Tracking", Proc. SPIE 1099, Advances in Image Compression and Automatic Target Recognition, (5 September 1989); https://doi.org/10.1117/12.960455

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