THE MATHEMATICAL FOUNDATIONS OF FOREIGN OBJECT RECOGNITION IN THE VIDEO FROM UNMANNED AIRCRAFT

Authors

  • Philip Prystavka National Aviation University
  • Anastasia Rogatyuk National Aviation University

DOI:

https://doi.org/10.18372/2306-1472.64.9048

Keywords:

objects identification, recognition methods, separating mixtures, video processing

Abstract

The paper considers an analysis of object and phenomena recognition methods. We focus at the main problems of objects recognition in real-time in the video. As part of identification procedure paper considers separating mixtures of normal distributions iterative method which based on histogram estimation method.

Author Biographies

Philip Prystavka, National Aviation University

Prystavka Philip (1974). Doctor of Technical Sciences. Professor.
National Aviation University, Kyiv, Ukraine.
Education: Dnipropetrovsk National University, Dnipropetrovsk, Ukraine (1996).
Research area: applied mathematics and information technologies.

Anastasia Rogatyuk, National Aviation University

Rogatuk Anastasia (1989). Postgraduate Student.
National Aviation University, Kyiv, Ukraine.
Education: National Aviation University, Kyiv, Ukraine (2011).
Research area: information technology.

References

Gorelik А. Recognition methods: Textbooks for schools / Gorelik A., Skripnik V. – 3rd ed., Revised and appended. – Moscow: Higher School, 1989. – 232 p. (in Russian).

Vasilyeva I. Methods of Pattern Recognition: Tutorial Laboratory workshop. – Kharkiv. : National Aerospace University "Kharkiv Aviation Institute", 2008. – 57 p. (in Russian).

Statistical methods for pattern recognition [Online resource]. – URL:http://yury.name/modern/07modernnote.pdf (in Russian).

Gruzman I. Digital image processing in information systems. – Novosibirsk. : Tutorial – 2002. – 352 p. (in Russian).

Kobzar A. Applied Mathematical Statistics. For engineers and scientists. – M. : FIZMATLIT, 2006. – 816 p. (in Russian).

Prystavka A. Mixtures and spline on heterogeneous distribution of normal spaces – D. : Dnepropetrovsk State. University, 1987. – 233 p. Dep. VINITI 11.01.88, №33–V88. (in Russian).

Glumov H. Image processing, pattern recognition // Computer Optics – 2008 – part 32, № 3 – p. 277–282. (in Russian).

Published

29-09-2015

How to Cite

Prystavka, P., & Rogatyuk, A. (2015). THE MATHEMATICAL FOUNDATIONS OF FOREIGN OBJECT RECOGNITION IN THE VIDEO FROM UNMANNED AIRCRAFT. Proceedings of National Aviation University, 64(3), 133–139. https://doi.org/10.18372/2306-1472.64.9048

Issue

Section

INFORMATION TECHNOLOGY