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17 May 1989 Artificial Neural Computer For Image Tracking
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Proceedings Volume 1058, High Speed Computing II; (1989)
Event: OE/LASE '89, 1989, Los Angeles, CA, United States
This paper presents an overview of a proposed machine vision system which uses artificial neural network type computing to track rapidly moving objects in space. Artificial neural networks theoretically have inherent advantages for this task such as real time computing speed and relatively small hardware size. The system is required to recognize the object in the presence of some other patterns, determine its location relative to a frame of reference and compute its velocity. Trainable ANNs are proposed to solve the computation problem.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
E S McVey, R M Inigo, J Minnix, J Sigda, and Z. Rahman "Artificial Neural Computer For Image Tracking", Proc. SPIE 1058, High Speed Computing II, (17 May 1989);


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