Using Television Image Fragments of a Machine Vision for Verifying Noise Immunity of an Extended Object Velocity Measurement
https://doi.org/10.31854/1813-324X-2022-8-1-34-40
Abstract
Modern diagnostic systems used to control railway infrastructure are equipped with technical vision systems. In addition to video recording, these systems perform recognition tasks and measure parameters necessary for the automation of technological processes. One of the existing tasks is to measure the velocity of long objects. Measuring velocity is necessary for slowing down a carriage on a gravity yard, for the formation of an image of extended objects (separate wagons or convoys) that cannot fit into the frame as a whole (the image is formed from fragments of different frames). The article describes the procedure of verifying fragments of images used to measure the velocity of extended objects, which increases noise immunity. The verification procedure improved the existing algorithm based on comparing two adjacent frames to calculate the speed of motion, thus increasing the reliability of measurements.
About the Authors
R. Diyazitdinov
Povolzhskiy State University of Telecommunications and Informatics
Russian Federation
Russian Federation
Samara, 443010
N. Vasin
Povolzhskiy State University of Telecommunications and Informatics
Russian Federation
Russian Federation
Samara, 443010
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Review
For citations:
Diyazitdinov R., Vasin N. Using Television Image Fragments of a Machine Vision for Verifying Noise Immunity of an Extended Object Velocity Measurement. Proceedings of Telecommunication Universities. 2022;8(1):34-40. (In Russ.) https://doi.org/10.31854/1813-324X-2022-8-1-34-40
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