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Proceedings Paper

POAC (programmable optical array computer) applied for target recognition and tracking
Author(s): Szabolcs Tokes; Laszlo Orzo; Ahmed E. Ayoub; Tamas Roska
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Paper Abstract

A portable programmable opto-electronic analogic CNN computer (Laptop-POAC) has been built and used to recognize and track targets. Its kernel processor is a novel type of high performance optical correlator based on the use of bacteriorhodopsin (BR) as a dynamic holographic material. This optical CNN implementation combines the optical computer's high speed, high parallelism (≈106 channel) and large applicable template sizes with flexible programmability of the CNN devices. Unique feature of this optical array computer is that programming templates can be applied either by a 2D acousto-optical deflector (up to 64x64 pixel size templates) incoherently or by an LCD-SLM (up to 128x128 size templates) coherently. So it can work both in totally coherent and partially incoherent way, utilizing the actual advantages of the used mode of operation. Input images are fed-in by a second LCD-SLM of 600x800 pixel resolution. Evaluation of trade-off between speed and resolution is given. Novel and effective target recognition and multiple-target-tracking algorithms have been developed for the POAC. Tracking experiments are demonstrated. Collision avoidance experiments are being conducted. In the present model a CCD camera is recording the correlograms, however, later a CNN-UM chip and a high-speed CMOS camera will be applied for post-processing.

Paper Details

Date Published: 8 December 2004
PDF: 12 pages
Proc. SPIE 5613, Military Remote Sensing, (8 December 2004); doi: 10.1117/12.573802
Show Author Affiliations
Szabolcs Tokes, Computer and Automation Research Institute (Hungary)
Laszlo Orzo, Computer and Automation Research Institute (Hungary)
Ahmed E. Ayoub, Computer and Automation Research Institute (Hungary)
Tamas Roska, Computer and Automation Research Institute (Hungary)

Published in SPIE Proceedings Vol. 5613:
Military Remote Sensing
Gary W. Kamerman; David V. Willetts, Editor(s)

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