ДВОЕТАПНИЙ ДИНАМІЧНИЙ ТРЕКЕР ВІДСТЕЖУВАННЯ РУХОМИХ ОБ`ЄКТІВ

Oleksiy Semko; Dinys Vinnichuk; Oleksiy Semko; Dinys Vinnichuk

doi:10.30888/2663-5712.2025-32-01-006

Authors

Oleksiy Semko Institute of Telecommunications and Global Information Space of the National Academy of Sciences of Ukraine https://orcid.org/0000-0001-6473-1329
Dinys Vinnichuk National University of Life and Environmental Sciences of Ukraine https://orcid.org/0009-0001-9441-7696

DOI:

https://doi.org/10.30888/2663-5712.2025-32-01-006

Keywords:

occlusion, convolutional neural network, tracker, model, pattern recognition, classification

Abstract

Object tracking in video is a challenging task in computer vision (CV). At the same time, there are a number of problems that complicate accurate and reliable tracking of objects in video streams, namely: occlusion (overlapping objects, changes in the ap

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References

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TWO-STAGE DYNAMIC TRACKER FOR TRACEBILITY OF THE MOVING OBJECTS

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