Intelligent Tracking Algorithms in Collaborative Robotic Systems: Application of Camshift and Kalman Filter

Публікація:
Intelligent Tracking Algorithms in Collaborative Robotic Systems: Application of Camshift and Kalman Filter

dc.contributor.author	Gurin, D.
dc.date.accessioned	2025-04-08T13:13:45Z
dc.date.available	2025-04-08T13:13:45Z
dc.date.issued	2025
dc.description.abstract	In this paper, considers modern approaches to solving the problems of tracking objects in collaborative robotic systems using intelligent algorithms. Special attention is paid to the use of the CAMShift algorithm and the Kalman filter, which are actively used to track the dynamics of object movement in various environments. The principles of operation of both methods, their advantages and disadvantages, as well as the possibilities of integration into collaborative robotics systems are analyzed. The article also contains a comparative table that summarizes the key characteristics of the algorithms and contains reflections on the prospects for their use in real-time conditions.
dc.identifier.citation	Gurin D. Intelligent Tracking Algorithms in Collaborative Robotic Systems: Application of Camshift and Kalman Filter / D. Gurin // Sustainable smart cities and communities: business and innovation solutions 2025 : Thesises of Reports of I st І International Conference, April 21, 2025. - Kharkiv, 2025. - P. 17-19.
dc.identifier.uri	https://openarchive.nure.ua/handle/document/30256
dc.language.iso	en
dc.subject	Industry 5.0
dc.subject	CAMShift
dc.subject	Kalman filter
dc.subject	cobot
dc.title	Intelligent Tracking Algorithms in Collaborative Robotic Systems: Application of Camshift and Kalman Filter
dc.type	Thesis
dspace.entity.type	Publication