CAMShift Algorithm for Human Tracking in the Collaborative Robot Working Area

Gurin, D.; Yevsieiev, V.; Maksymova, S.; Ahmad Alkhalaileh

Публікація:
CAMShift Algorithm for Human Tracking in the Collaborative Robot Working Area

dc.contributor.author	Gurin, D.
dc.contributor.author	Yevsieiev, V.
dc.contributor.author	Maksymova, S.
dc.contributor.author	Ahmad Alkhalaileh
dc.date.accessioned	2024-08-11T16:47:13Z
dc.date.available	2024-08-11T16:47:13Z
dc.date.issued	2024
dc.description.abstract	This article considers the complex implementation of the CAMShift algorithm for human tracking in the collaborative robot working area. he study covers both the algorithmic and mathematical underpinnings of CAMShift, detailing the underlying principles and mathematical models used to improve tracking accuracy. A Python program was developed in the PyCharm environment to effectively implement this algorithm, taking into account aspects such as real-time processing and integration with robotic systems. The research conducted a comprehensive assessment of the tracking speed, studied how effectively the algorithm works in different condition s and how it affects the overall sensitivity of the system. The results demonstrate the effectiveness of the CAMShift algorithm in providing accurate and timely tracking, highlighting its suitability for dynamic and interactive environments. This work helps to optimize the performance of collaborative robots by improving tracking capabilities, enabling better interaction and safety in shared work areas.
dc.identifier.citation	CAMShift Algorithm for Human Tracking in the Collaborative Robot Working Area / D. Gurin, V. Yevsieiev, S. Maksymova., Ahmad Alkhalaileh // Journal of Universal Science Research. – 2024. – Vol. 2(8). – P. 87–101.
dc.identifier.issn	2181-4570
dc.identifier.uri	https://openarchive.nure.ua/handle/document/27728
dc.language.iso	en
dc.publisher	Journal of Universal Science Research
dc.subject	Industry 5.0,
dc.subject	Collaborative Robots
dc.subject	CAMShift algorithm
dc.subject	Tracking People
dc.subject	Computer Vision
dc.subject	Work Area
dc.title	CAMShift Algorithm for Human Tracking in the Collaborative Robot Working Area
dc.type	Article
dspace.entity.type	Publication