Design Of A High Order Neural Network Motion Sensor

Luis R. Lopez

doi:10.1117/12.951680

17 May 1989 Design Of A High Order Neural Network Motion Sensor

Luis R. Lopez

Proceedings Volume 1058, High Speed Computing II; (1989) https://doi.org/10.1117/12.951680
Event: OE/LASE '89, 1989, Los Angeles, CA, United States

Abstract

Designs that combine simple high order neural circuits, Feed Back Shunting (FBS)1 and Feed Forward Shunting (FFS)2 are presented. A cascaded FFS-FBS design approach results in two new networks. These networks are capable of extracting edge features from moving images in noisy environments. The use of FFS to detect motion gives these networks robustness in the presence of noise. FBS gives them the ability to extract edge features.

Citation Download Citation

Luis R. Lopez "Design Of A High Order Neural Network Motion Sensor", Proc. SPIE 1058, High Speed Computing II, (17 May 1989); https://doi.org/10.1117/12.951680

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