id: 35519
Title: Simulation of algorithms for detection, localization and tracking of moving objects in video streams
Authors: Krasilenko V.G., Kychak V.M., Nikolskyy A.I., Lazarev A.A., Nikitovich D.V.
Keywords: simulation, video stream, pattern recognition, object detecting, tracking, nonlinear equivalence model, subtraction of frames, space-invariant recognition, Mathcad, Labview.
Date of publication: 2024-03-28 08:16:45
Last changes: 2024-03-28 08:16:45
Year of publication: 2023
Summary: In this work, algorithms for detecting, localizing and tracking moving objects in a stream of video frames are proposed and modeled. The algorithms are based on nonlinear normalized equivalence models, as a measure of the proximity of the template and the current fragment of the video frame, as well as some types of operations on neighboring frames. The results of modeling the proposed algorithms in Mathcad and Labview are presented. The use of equivalence models, measures and frame difference functions gives good results in recognizing and tracking moving objects.
URI: http://repository.vsau.org/repository/getfile.php/35519.pdf
Publication type: Доповідь конференції
Publication: IX Міжнародна науково-технічна конференція «Сучасні проблеми інфокомунікацій, радіоелектроніки та наносистем». 15-17 листопада 2023 року. м. Вінниця. 2023.
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File : 35519.pdf Size : 1479632 byte Format : Adobe PDF Access : For all
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