The task of colortype in the video monitoring system

Authors

  • Любовь Влaдимировнa Рябовa National Aviation University
  • Андрей Иванович Гизун National Aviation University
  • Оксана Петрівна Дуксенко NAU industrial and economic college

DOI:

https://doi.org/10.18372/2410-7840.19.11693

Keywords:

video surveillance systems, data processing systems, pattern recognition, resolving power, effective spectrum width

Abstract

In today's complex security systems, a huge role is played by video monitoring systems. CCTV systems are the most informative for the user and they provide an opportunity for security personnel to make quick decisions, depending on the situation at the protected facility. The paper presents possible methods for describing color objects on complex scenes in a video surveillance system when lighting conditions change when images are acquired. The resulted results and practical conclusions are received after the analysis of a large number of different images in several color models, with most of the attention given to the HLS model. A criterion for estimating the difference in colors was developed and methods of histogram image processing were examined with the aim of improving their quality. Methods for selecting objects with their color designation may differ from traditional ones.

Author Biographies

Любовь Влaдимировнa Рябовa, National Aviation University

assistant of Academic Departament of information security means, National Aviation University

Андрей Иванович Гизун, National Aviation University

PhD, Associate professor of Academic Department of IT-security, National Aviation University

Оксана Петрівна Дуксенко, NAU industrial and economic college

teacher of NAU industrial and economic college

References

Р. Гонсалес, Р. Вудс, Цифровая обработка изображений, М.: Техносфера, 2006, 432 с.

D. Mark, Fairchild color appearance models 2nd Edition, John Wiley& Sons, 2005, 408 с.

I. Pitas, Digital image processing algorithms and applications, 2000, С. 1-38.

F. Porter, Testing consistency of two histograms, 2008.

Ю. Зубарев, В. Дворкович, Цифровая обработка телевизионных и компьютерных изображений, Москва, 1997, 354 с.

Z. He, T. Tan, Z. Sun "Towards accurate and fast iris segmentation for biometrics", IEEE.Trans. on Pattern Anallysis and Machine Intelligence, Vol. 31, no. 9, рp. 1670-1684, 2009.

M.J. Swain "Color Indexing", International Journal of Computer Vision, vol. 7, pp. 11-32. 1991.

Downloads

Published

2017-06-26

Issue

Vol. 19 No. 2 (2017)

Section

Articles

License

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).