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Proceedings Paper

Detecting changes in scenes using autonomous smart cameras
Author(s): Holger M. Jaenisch; James W. Handley; Michael L. Hicklen
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Paper Abstract

This paper describes a novel smart camera algorithm capable of detecting important changes in scenes. These changes take the form of observed crowd dynamics, group behavior, and mounted and unmounted traffic flow. Using webcam imagery of a football game, these cameras successfully exhibited scene understanding and detected anomalies without prior training or examples. Our algorithm and results are summarized in this paper.

Paper Details

Date Published: 7 May 2007
PDF: 12 pages
Proc. SPIE 6565, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII, 65651Y (7 May 2007); doi: 10.1117/12.720158
Show Author Affiliations
Holger M. Jaenisch, dtech Systems Inc. (United States)
James W. Handley, Axiom Corp. (United States)
Michael L. Hicklen, dtech Systems Inc. (United States)


Published in SPIE Proceedings Vol. 6565:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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