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Proceedings Paper

Correlation of partial frames in video matching
Author(s): Boris Kovalerchuk; Sergei Kovalerchuk
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Paper Abstract

Correlating and fusing video frames from distributed and moving sensors is important area of video matching. It is especially difficult for frames with objects at long distances that are visible as single pixels where the algorithms cannot exploit the structure of each object. The proposed algorithm correlates partial frames with such small objects using the algebraic structural approach that exploits structural relations between objects including ratios of areas. The algorithm is fully affine invariant, which includes any rotation, shift, and scaling.

Paper Details

Date Published: 17 June 2013
PDF: 12 pages
Proc. SPIE 8747, Geospatial InfoFusion III, 87470L (17 June 2013); doi: 10.1117/12.2016645
Show Author Affiliations
Boris Kovalerchuk, Central Washington Univ (United States)
BKF Systems (United States)
Sergei Kovalerchuk, BKF Systems (United States)

Published in SPIE Proceedings Vol. 8747:
Geospatial InfoFusion III
Matthew F. Pellechia; Richard J. Sorensen; Kannappan Palaniappan, Editor(s)

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