Abstract
In this paper the effectiveness of the methods for the determination of objects movement between frames in a video sequence was investigated applying to the task of roundwood parameters control. The phase correlation method shows the best value for the accuracy and performance under the given conditions. It was decided to update this method in order to improve the performance of developing machine vision system in the accuracy and reliability of tracking objects. The modified method of phase correlation was implemented using parallel processing OpenMP, which allowed to achieve the necessary performance indicators. The method was tested on the image database of real technological process of round timber movement on the conveyer belt and showed high efficiency and robustness.
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Artem V. Kruglov. Master of engineering and technology since 2013 (specialty Information and Computer Sciences). At the moment is a postgraduate student at the Ural Federal University named after the first President of Russia B.N. Yeltsin. Founder and director of the IT-company specialized in the designing of control systems based on technical vision (since 2012). Fields of interest: computer vision, image recognition and reconstruction, automated control systems.
Vasilii N. Kruglov. Lecturer of the Ural Federal University named after the first President of Russia B.N. Yeltsin. PhD since 1989. Developer of a number of the industrial automatic control systems: computer system “Size Indicator” for checking the granulometric composition of milled ore (Mikhailovsk, 2005), system for controlling the pelletizer (Staryi Oskol, 2006), computer system “Indicator for Jet Discharge” for estimating the melt flow rate of a small melting furnace (Chelyabinsk, 2007). Fields of interest: development of the technical vision systems, image processing.
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Kruglov, A.V., Kruglov, V.N. Tracking of fast moving objects in real time. Pattern Recognit. Image Anal. 26, 582–586 (2016). https://doi.org/10.1134/S1054661816030111
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DOI: https://doi.org/10.1134/S1054661816030111