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6 December 1989 A Real-Time Multi-Processor System For Knowledge-Based Target-Tracking
P. D.S. Irwin, S. A. Farson, A. J. Wilkinson
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Proceedings Volume 1154, Real-Time Signal Processing XII; (1989) https://doi.org/10.1117/12.962371
Event: 33rd Annual Technical Symposium, 1989, San Diego, United States
Abstract
This paper describes a multi-processor implementation of a knowledge-based system which has been developed with the aim of achieving real-time image interpretation within a specific application area, namely tracking targets in I.R. imagery. Image segmentation and feature extraction algorithms generate a reduced resolution representation of the image in terms of various features. This feature data is then fed to a knowledge-based system for image interpretation. A custom chip-set for implementation of the 'front-end' segmentation and feature extraction algorithms is described which uses a bit-level systolic array architecture to meet the high computational requirements in real-time. Reduced resolution feature arrays which are generated by this hardware are simultaneously mapped into the memory of an array of INMOS transputers. A multi-processor 'farm' architecture is described capable of implementing the first level of image interpretation algorithms in real-time. Efficient task scheduling within the multi-processor system is critical for real-time operation and an optimal algorithm for scheduling the various tasks involved in implementing the rule set, which forms the core of the knowledge-based system, is presented.
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P. D.S. Irwin, S. A. Farson, and A. J. Wilkinson "A Real-Time Multi-Processor System For Knowledge-Based Target-Tracking", Proc. SPIE 1154, Real-Time Signal Processing XII, (6 December 1989); https://doi.org/10.1117/12.962371
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KEYWORDS
Image segmentation
Process control
Image processing
Signal processing
Clocks
Feature extraction
Image processing algorithms and systems
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