Object Recognition and Tracking Method in the Mobile Robot’s Workspace in Real Time

Yevsieiev, V.; Amer Abu-Jassar; Maksymova, S.

Публікація:
Object Recognition and Tracking Method in the Mobile Robot’s Workspace in Real Time

dc.contributor.author	Yevsieiev, V.
dc.contributor.author	Amer Abu-Jassar
dc.contributor.author	Maksymova, S.
dc.date.accessioned	2024-07-22T18:04:21Z
dc.date.available	2024-07-22T18:04:21Z
dc.date.issued	2024
dc.description.abstract	This article presents an object recognition and tracking method in the mobile robot’s workspace in real time. The main approach is to use a color mask, for which a mathematical description of the algorithm is proposed. The method is implemented in the Python programming language using t he PyCharm development environment. During the research, experiments were carried out, on the basis of which important performance indicators were obtained. The processing time indicator, which measures the processing time of each frame of a video stream, demonstrated high efficiency, ranging from 0.0010 to 0.0020 seconds. Detection speed, which determines the speed of object detection in FPS, also presented good results, ranging from 501.47 to 1037.42 FPS.
dc.identifier.citation	Yevsieiev V. Object Recognition and Tracking Method in the Mobile Robot’s Workspace in Real Time / V. Yevsieiev, Amer Abu-Jassar, S. Maksymova // Technical science research in Uzbekistan. – 2024. – Vol. 2(2). – P. 115-124.
dc.identifier.issn	2992-9148
dc.identifier.uri	https://openarchive.nure.ua/handle/document/27494
dc.language.iso	en
dc.publisher	Technical science research in Uzbekistan
dc.subject	Сomputer Vision Systems
dc.subject	Mobile Robots
dc.subject	object recognition
dc.subject	tracking method
dc.title	Object Recognition and Tracking Method in the Mobile Robot’s Workspace in Real Time
dc.type	Article
dspace.entity.type	Publication