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Bulletin of the Abai KazNPU, the series of "Physical and Mathematical Sciences"
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Vol. 73 No. 1 (2021)

MACHINE LEARNING METHODS FOR IMPROVING THE QUALITY OF IMAGES FROM RAILWAY SURVEILLANCE CAMERAS

Published March 2021
B.S Akhmetov+− D.V Isaykin+− М.B Bereke+−
Abai Kazakh National Pedagogical University, Almaty
Kazakhstan University of railway transport, Almaty
Abai Kazakh National Pedagogical University, Almaty
DOI: 10.51889/2021-1.1728-7901.19
Abstract

The article shows the development of the methodology for changing the resolution (RD) of images received from cameras video surveillance on railway transport. Studies were conducted based on the application of machine learning (MLM) and genetic algorithm (GA) in image processing. Through to the implementation of this approach it was able to expand the functionality of the MLM. In particular, it is proposed to implement the process of oversampling with the target coefficient of information content of image frames using GA. The article describes the implementation of the hardware and software part of the developed video surveillance system based on the Raspberry Pi. Also article shows the implemented software module GUI PP ImageScaling.exe in algorithmic languages Python and C #.

pdf (Рус)
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Рус

Keywords
video surveillance systems railway transport image quality improvement genetic algorithm
How to Cite

[1]
Ахметов, Б., Исайкин, Д. and Береке, М. 2021. MACHINE LEARNING METHODS FOR IMPROVING THE QUALITY OF IMAGES FROM RAILWAY SURVEILLANCE CAMERAS. Bulletin of the Abai KazNPU, the series of "Physical and Mathematical Sciences". 73, 1 (Mar. 2021), 126–133. DOI:https://doi.org/10.51889/2021-1.1728-7901.19.