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Proceedings Paper

Adaptive templates in scale space
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Paper Abstract

Multi-scale, multi-resolution image decompositions are efficacious for real-time target tracking applications. In these real-time systems, objects are initially located using coarse descriptions of the original image. These coarse scale results then guide and refine further inspection, with queries of higher resolution image representations restricted to regions of potential objects occurrence. The result is the classical coarse-to-fine search. In this paper, we describe a method for generating an adaptive template within the coarse-to-fine framework. Causality properties between image representations are directly exploited and lead to a template mechanism that is resilient to noise and occlusion. With minimal computational requirements, the method is well suited for real-time application.

Paper Details

Date Published: 26 March 1999
PDF: 12 pages
Proc. SPIE 3645, Real-Time Imaging IV, (26 March 1999);
Show Author Affiliations
C. Andrew Segall, Northwestern Univ. (United States)
Scott Thomas Acton, Oklahoma State Univ. (United States)

Published in SPIE Proceedings Vol. 3645:
Real-Time Imaging IV
Divyendu Sinha, Editor(s)

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