An optical processor for multitarget track initiation is presented. It uses the Hough transform to detect target tracks in a fixed time independent of the number of tracks present. In new results, we describe how the ...
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An optical processor for multitarget track initiation is presented. It uses the Hough transform to detect target tracks in a fixed time independent of the number of tracks present. In new results, we describe how the system produces target position and velocity estimates in linear time (with the number of targets). Tests of the system are presented for multiple targets with various velocities and target detection probabilities. A new thresholded Hough transform algorithm to reduce the effects of noise and false tracks in single data frames is introduced and tested. The optical implementation of these Hough transform track initiation algorithms is discussed.
A fully-engineered real-time (15 object per second) optical Fourier transform feature space processor for product inspection is described. This unit is presently undergoing evaluation at several sites. This paper disc...
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A directed graph is considered for organization of a knowledge base for neural, associative, model-based, and other advanced processors. Its ability to self-organize itself, delete old information, and add new informa...
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A directed graph is considered for organization of a knowledge base for neural, associative, model-based, and other advanced processors. Its ability to self-organize itself, delete old information, and add new information and its many interconnections make it most suitable for optical realization and use in advanced neural and adaptive optical processors. An alphanumeric image space example is used as a case study, and an optical processor architecture to achieve this with impressive performance is discussed.
Simulation results for an optical realization of a factorized extended Kalman filter algorithm are presented, minimum word lengths required for accurate tracking are empirically determined, and computation times for a...
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Simulation results for an optical realization of a factorized extended Kalman filter algorithm are presented, minimum word lengths required for accurate tracking are empirically determined, and computation times for an optical realization are quantified.
The application of symbolic processing and rule-based methods for target recognition using correlation filters is considered. The concept of partitioning images is introduced, and its advantages are described. Techniq...
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The application of symbolic processing and rule-based methods for target recognition using correlation filters is considered. The concept of partitioning images is introduced, and its advantages are described. Techniques for rule development, symbolic substitution, error correction via associative processing, and on-line filter adaptation are advanced. Initial simulation results are also presented and discussed.
Following a brief review of multi-sensor image processing techniques for obstacle detection, we consider a new method to employ range data to extract object regions of interest from an outdoor natural scene. Our empha...
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