Document Type
Conference Proceeding
Department or Administrative Unit
Computer Science
Publication Date
6-17-2013
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.
Recommended Citation
Kovalerchuk, B., & Kovalerchuk, S. (2013). Correlation of partial frames in video matching. Geospatial InfoFusion III, 8747, 87470L. https://doi.org/10.1117/12.2016645
Journal
Geospatial InfoFusion III
Rights
© 2013 SPIE
Comments
This article was originally published in Geospatial InfoFusion III. The full-text article from the publisher can be found here.
Copyright 2013 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.