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ADAPTIVE COVARIANCE STABILIZATION OF VIDEO IMAGE

Abstract

An adaptive method of video image stabilization is proposed. It is based on gradient covariance features and selective search for best matching. The comparison of proposed adaptive covariance and known SURF methods is provided.

About the Authors

I. A. Baryskievic
Белорусский государственный университет информатики и радиоэлектроники
Belarus


V. Yu. Tsviatkou
Белорусский государственный университет информатики и радиоэлектроники
Belarus


References

1. Lowe D.G. // Intern. Journ. of Computer Vision. 2004. Vol. 60, № 2. P. 91-110.

2. Bay H. // Computer Vision and Image Understanding. 2008. Vol. 110, № 3. P. 346-359.

3. Eberhart R., Kennedy J. // Proceedings of the Sixth International Symposium on Micro Machine and Human Science. 1995. P. 39-43.

4. Tuzel O., Porikli F., Meer P. // Proc. 9th European Conf. on Computer Vision. 2006. Vol. 2. P. 589-600.


Review

For citations:


Baryskievic I.A., Tsviatkou V.Yu. ADAPTIVE COVARIANCE STABILIZATION OF VIDEO IMAGE. Doklady BGUIR. 2015;(5):60-66. (In Russ.)

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ISSN 1729-7648 (Print)
ISSN 2708-0382 (Online)