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Proceedings Paper

Change Detection and Tracking Using Pyramid Transform Techniques
Author(s): C. H. Anderson; P. J. Burt; G. S. van der Wal
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Paper Abstract

An automated, or "smart", surveillance system must be sensitive to small object motion wherever it may occur within a large field of view. The system must also be capable of distinguishing changes of interest from other image activity or noise. Yet the data processing capabilities of practical systems is often quite limited. To achieve these performance objectives at a low data rate, a pyramid based image preprocessor has been constructed that can compute frequency tuned "change energy" measures in real time. A microprocessor then examines a relatively small set of these measures and follows a foveal search strategy to isolate moving objects for tracking or for more detailed analysis.

Paper Details

Date Published: 11 December 1985
PDF: 7 pages
Proc. SPIE 0579, Intelligent Robots and Computer Vision IV, (11 December 1985); doi: 10.1117/12.950785
Show Author Affiliations
C. H. Anderson, RCA David Sarnoff Research Center (United States)
P. J. Burt, RCA David Sarnoff Research Center (United States)
G. S. van der Wal, RCA David Sarnoff Research Center (United States)


Published in SPIE Proceedings Vol. 0579:
Intelligent Robots and Computer Vision IV
David P. Casasent, Editor(s)

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