Vector neural networks

Details Vector neural networks Vector neural networks

1992-11-30

1995-07-11

Downs, Robert W.

395 22, G06K 962

Patent

active

054328896

ABSTRACT:
A vector neural network (VNN) of interconnected neurons is provided in transition mappings of potential targets wherein the threshold (energy) of a single frame does not provide adequate information (energy) to declare a target position. The VNN enhances the signal-to-noise ratio (SNR) by integrating target energy over multiple frames including the steps of postulating massive numbers of target tracks (the hypotheses), propagating these target tracks over multiple frames, and accommodating different velocity targets by pixel quantization. The VNN then defers thresholding to subsequent target stages when higher SNR's are prevalent so that the loss of target information is minimized, and the VNN can declare both target location and velocity. The VNN can further include target maneuver detection by a process of energy balancing hypotheses.

REFERENCES:
patent: 5014219 (1991-05-01), White
Zhou et al., "Neural Network Algorithms for Motion Stereo", IJCNN, Jun. 1989, II-251-II-258.
Zhou et al., "A Network for Motion Perception", IJCNN, Jun. 1990, II-875-II-884.
Zhu, Q., "Target Motion Prediction and Tracking by Bi-Directional Dynamic Associative Neural Network", IEEE Intl. Conf. on Systems Engineering, Aug. 1990, 351-354.
Kartalopoulos, S. V., "Signal Processing and Implementation of Motion Detection Neurons in Optical Pathways", IEEE Global Telecomm. Conf. and Exhibition, Dec. 1990, 1361-1365.
Roska et al., "Detecting Simple Motion Using Cellular Neural Networks", 1990 IEEE Intl. Workshop on Cellular Neural Networks and their Applications, Dec. 1990, 127-138.

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