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Industrial Automatic Control Systems and Controllers

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Video Stabilization Method Using Vehicle Motion Parameters
Loktev D.A., Loktev A.A., Korolev V.V., Merkelov M.V.

In this paper, we consider a method for stabilizing a video sequence when a vehicle is moving with a camera. To do this,
it is necessary fi rst of all to determine the vibration parameters of the vehicle and, taking them into account, further improve
the quality of the images obtained. Various informative parameters characterizing the object in the image are considered, and
it is proposed to use the blurring of the object image as the main parameter. To assess the quality of images obtained after
stabilization, the practical task of recognizing transport objects using the YOLO neural network is considered.
Keywords: video stream stabilization, vehicle vibration model, image quality assessment, image blur, motion blur, monitoring system.

Pp. 28-36.

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