Paper
17 June 2013 Correlation of partial frames in video matching
Boris Kovalerchuk, Sergei Kovalerchuk
Author Affiliations +
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Boris Kovalerchuk and Sergei Kovalerchuk "Correlation of partial frames in video matching", Proc. SPIE 8747, Geospatial InfoFusion III, 87470L (17 June 2013); https://doi.org/10.1117/12.2016645
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KEYWORDS
Sensors

Video

Raster graphics

Algorithm development

Detection and tracking algorithms

Digital watermarking

Tellurium

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