Using computer vision for an automated object tracking system
The article considers the use of computer vision technologies to automate the process of tracking objects in a video stream. The developed system that realizes the recognition, tracking, and characterization of moving objects using the YOLOv8 model is described. The system includes modules for disp...
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| Format: | Article |
| Language: | English |
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Igor Sikorsky Kyiv Polytechnic Institute
2025-02-01
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| Series: | Adaptivni Sistemi Avtomatičnogo Upravlinnâ |
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| Online Access: | https://asac.kpi.ua/article/view/323655 |
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| _version_ | 1849703473980899328 |
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| author | Н. Булботка О. Польшакова |
| author_facet | Н. Булботка О. Польшакова |
| author_sort | Н. Булботка |
| collection | DOAJ |
| description |
The article considers the use of computer vision technologies to automate the process of tracking objects in a video stream. The developed system that realizes the recognition, tracking, and characterization of moving objects using the YOLOv8 model is described. The system includes modules for displaying video, recognizing, tracking, and characterizing objects. The article describes the process of training the YOLOv8 model on specific data sets, as well as the application of algorithms for determining the speed of moving objects.
The proposed solution allows analyzing the video stream in real time. The results confirm the compliance of the developed system with the requirements and its practical applicability in the areas of video surveillance, analysis of the behavior of objects, unmanned vehicles, and transportation systems.
Ref. 8, fig. 8, tab. 3
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| format | Article |
| id | doaj-art-df964565eb5a4d9699267626e5605069 |
| institution | DOAJ |
| issn | 1560-8956 2522-9575 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Igor Sikorsky Kyiv Polytechnic Institute |
| record_format | Article |
| series | Adaptivni Sistemi Avtomatičnogo Upravlinnâ |
| spelling | doaj-art-df964565eb5a4d9699267626e56050692025-08-20T03:17:15ZengIgor Sikorsky Kyiv Polytechnic InstituteAdaptivni Sistemi Avtomatičnogo Upravlinnâ1560-89562522-95752025-02-0114610.20535/1560-8956.46.2025.323655362430Using computer vision for an automated object tracking systemН. Булботка0О. Польшакова1Igor Sikorsky Kyiv Polytechnic InstituteIgor Sikorsky Kyiv Polytechnic Institute The article considers the use of computer vision technologies to automate the process of tracking objects in a video stream. The developed system that realizes the recognition, tracking, and characterization of moving objects using the YOLOv8 model is described. The system includes modules for displaying video, recognizing, tracking, and characterizing objects. The article describes the process of training the YOLOv8 model on specific data sets, as well as the application of algorithms for determining the speed of moving objects. The proposed solution allows analyzing the video stream in real time. The results confirm the compliance of the developed system with the requirements and its practical applicability in the areas of video surveillance, analysis of the behavior of objects, unmanned vehicles, and transportation systems. Ref. 8, fig. 8, tab. 3 https://asac.kpi.ua/article/view/323655automated systemrecognition algorithmobject trackingcomputer visionPythonYOLOv8 |
| spellingShingle | Н. Булботка О. Польшакова Using computer vision for an automated object tracking system Adaptivni Sistemi Avtomatičnogo Upravlinnâ automated system recognition algorithm object tracking computer vision Python YOLOv8 |
| title | Using computer vision for an automated object tracking system |
| title_full | Using computer vision for an automated object tracking system |
| title_fullStr | Using computer vision for an automated object tracking system |
| title_full_unstemmed | Using computer vision for an automated object tracking system |
| title_short | Using computer vision for an automated object tracking system |
| title_sort | using computer vision for an automated object tracking system |
| topic | automated system recognition algorithm object tracking computer vision Python YOLOv8 |
| url | https://asac.kpi.ua/article/view/323655 |
| work_keys_str_mv | AT nbulbotka usingcomputervisionforanautomatedobjecttrackingsystem AT opolʹšakova usingcomputervisionforanautomatedobjecttrackingsystem |