COUNTER-BASED FOREGROUND-BACKGROUND SEGMENTATION USING FORGRAYSCALE IMAGES

Abstract


Railway level crossing crashes are one of the most serious safety issues faced by the rail system. We present a counter-based algorithm for foreground-background segmentation gray-scale images to improve the safety at railway level crossings.

About the authors

R R Diyazitdinov

Email: dicar2088@gmail.com

References

  1. Васин Н.Н., Баранов А.М. Обработка видеосигналов для идентификации объектов на железнодорожном переезде // Компьютерная оптика. Вып. 28, 2005. - С. 152-155.
  2. Bradski G., Kaehler A. Learning OpenCV: Computer Vision with the OpenCV Library. 2008. - P. 287-292.
  3. Bradski G., Kaehler A. Learning OpenCV: Computer Vision with the OpenCV Library. 2008. - P. 271-278.

Statistics

Views

Abstract - 15

PDF (Russian) - 1

Cited-By


Article Metrics

Metrics Loading ...

Copyright (c) 2010 Diyazitdinov R.R.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies