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Proceedings Paper

Real-Time Scene Understanding And Vision Automation--A Brief Overview
Author(s): Jack Sklansky; K. H. Kane Kim
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Paper Abstract

After about twenty-five years of growth, image analysis technology has advanced to the point where the design of machines that model real scenes in real time is at the technological frontier. Consequently, we see the beginning of a merging of the technologies of image analysis and automatic control. This merger is leading to the development of complex distributed systems in which decisions and actions are based on realistic models of possibly time-varying scenes. We refer to this merged technology as vision automation. In the past decade, reflecting the impact of artificial intelligence, image analysis has expanded to scene understanding, and automatic control has evolved into intelligent control. Thus, vision automation consists of two major components: scene understanding and intelligent control. (We prefer the term "scene understanding" to the more commonly used "image understanding", since we want to understand the scene, not the image.)

Paper Details

Date Published: 10 September 1987
PDF: 6 pages
Proc. SPIE 0768, Pattern Recognition and Acoustical Imaging, (10 September 1987); doi: 10.1117/12.940283
Show Author Affiliations
Jack Sklansky, University of California (United States)
K. H. Kane Kim, University of California (United States)

Published in SPIE Proceedings Vol. 0768:
Pattern Recognition and Acoustical Imaging
Leonard A. Ferrari, Editor(s)

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