Use of video image analysis methods for detaching control on hump yards. Part 1
DOI:
https://doi.org/10.15587/2313-8416.2015.35869Keywords:
video analysis, cuts motion detection, hump yard, track section controlAbstract
A review of the most common video image analysis methods for detect motion in a stationary background is done in this article. The results are analyzed in terms of the ability to detaching control of rolling stock on hump yards. The background subtracting method is used for realization of this problem. The video of cuts detaching on Odesa-Sortuvalna hump yards are used for test the results
References
Ivanov, Y. A. (2011). Dispergirovannaya mikrokristallicheskaya celljuloza i gidrogeli na ee osnove [Dysperhyrovannaya microcrystalline cellulose and Hydrogel Bases]. Chemistry vegetable raw materials, 2, 11–16.
Gasimov, R. Ch. (2011). Programnyy kompleks dlya videomonitoringa zheleznodorozhnogo pereezda. Nauchnaya sessiya GUAP, Sankt-Peterburg – apr.2011. Sbornik dokladov. Part 2. Tekhnicheskie nauki, 10–12.
Ivanov, Yu. A. (2011). Tekhnologii komp'yuternogo zreniya dlya nablyudeniya za ob''ektami putevoy infrastrkutury. Prom. transp.KhKhI, 5-6, 35–38.
Rodrigues, T. M. (2011). A novel approach to rail crossing protection using computer vision and radio communications. Graph. And Vision, 20 (1), 41–71.
Ivanov, Yu. A. (2012). Tekhnologii komp'yuternogo zreniya. Zheleznodorozhnyy transport, 12, 49
Polonik, V. S. (1970). Televizionnaya avtomatika. Televizionnaya avtomatika, 80.
Kostyashkin, L. N., Babaev, S. I., Loginov, A. A., Pavlov, O. V. Tekhnologii sistem uluchshennogo sintezirovannogo zreniya dlya upravleniya letatel'nymi apparatami. Federal'noe gosudarstvennoe unitarnoe predpriyatie «Gosudarstvennyy ryazans'kiy pribornyy zavod» (FGUP «GRPZ») Gosudarstvennoe obrazovatel'no uchrezhdenie vysshego professional'nogo obrazovaniya «Ryazanskiy gosudarstvennyy radiotekhnicheskiy unіversitet» (GOU VPO «RGRU»), 27–34.
Blazhevich, S. V., Vintaev, V. N., Ushakova, N. N. Avtomaticheskoe vydelenie i soprovozhdenie psevdotochechnykh mertsayushchikh ob''ektov v real'nom vremeni. Belgorodskiy gosudarstvennyy universitet (BelGU), Belgorodskiy universitet potrebitel'skoy koopertsii (BUPK), 44–50.
Shapiro, L. M., Stockman, J. P. (2006). Computer Vision. Knowledge Laboratory, 2, 752.
Forsayt, D., Pons, Zh. (2004). Komp'yuternoe zrenie Sovremennyy pokhod. Izdatel'skiy dom “Vil'yams”, 197.
Nagy, A. T., Vamossy, Z. M. (2007). Super-Resolution for Traditional and Omnidirectional Image Sequences. John von Neumann Faculty of Informatics. Institute of Software Technology, 117–129.
Downloads
Published
Issue
Section
License
Copyright (c) 2015 Іван Миколайович Сіроклин, Валерія Олексіївна Фоміна, Андрій Анатолійович Бражник
This work is licensed under a Creative Commons Attribution 4.0 International License.
Our journal abides by the Creative Commons CC BY copyright rights and permissions for open access journals.
Authors, who are published in this journal, agree to the following conditions:
1. The authors reserve the right to authorship of the work and pass the first publication right of this work to the journal under the terms of a Creative Commons CC BY, which allows others to freely distribute the published research with the obligatory reference to the authors of the original work and the first publication of the work in this journal.
2. The authors have the right to conclude separate supplement agreements that relate to non-exclusive work distribution in the form in which it has been published by the journal (for example, to upload the work to the online storage of the journal or publish it as part of a monograph), provided that the reference to the first publication of the work in this journal is included.
