The Lucas-Kanade method implementation for estimating the objects movement in the mobile robot’s workspace

Публікація:
The Lucas-Kanade method implementation for estimating the objects movement in the mobile robot’s workspace

dc.contributor.author	Maksymova, S.
dc.contributor.author	Yevsieiev, V.
dc.contributor.author	Ahmad Alkhalaileh
dc.date.accessioned	2024-05-11T22:07:43Z
dc.date.available	2024-05-11T22:07:43Z
dc.date.issued	2024
dc.description.abstract	This article presents the Lucas-Kanade method implementation for estimating the objects movement in the mobile robot’s workspace using the Python programming language. The Lucas-Kanade method is used to calculate optical flow from sequential images and allows the motion of objects to be estimated. The necessary mathematical expressions are considered. As part of the study, experiments were conducted with different lighting levels to evaluate the robotic ability of the method under changing lighting conditions.
dc.identifier.citation	Maksymova S. The Lucas-Kanade method implementation for estimating the objects movement in the mobile robot’s workspace / S. Maksymova, V. Yevsieiev, Ahmad Alkhalaileh // Journal of Universal Science Research, 2024, 2(3). – P. 187-197.
dc.identifier.issn	2181-4570
dc.identifier.uri	https://openarchive.nure.ua/handle/document/26243
dc.language.iso	en
dc.subject	Сomputer Vision Systems
dc.subject	Mobile Robots
dc.title	The Lucas-Kanade method implementation for estimating the objects movement in the mobile robot’s workspace
dc.type	Article
dspace.entity.type	Publication