VIDEO - DEVELOPMENT OF AN INTELLECTUAL SYSTEM FOR DETECTION OF OBJECTS IN MOTION IN IMAGES
Abstract
In this article, an intelligent system for detecting and tracking moving objects based on video images is developed. The research used modern deep learning algorithms, in particular the YOLOv8 model and the ByteTrack tracking algorithm. The proposed approach allows for real-time detection, identification of objects, and tracking of their movement trajectory. Experimental results show that the system has high accuracy and speed.
References
[1] Uzbekistan Republic President's decree . Artificial intellect technologies to develop related additional measures about . – Tashkent, 2025.
[2] Sung KK and Poggio T. Example-based learning for view-based human face detection. -IEEE-PAMI. -20(1). 1998. - Pp. 39-50.
[3] Ultralytics: YOLOv8 vs YOLOv5. https://docs.ultralytics.com/compare/yolov8-vs-yolov5/
[4] Ultralytics YOLO Docs (YOLOv8). https://docs.ultralytics.com/models/yolov8
[5] Obilov, B. (2026). VIDEO TASVIRLARDA HARAKATDAGI OBYEKTLARNI ANIQLASHNING INTELLEKTUAL TIZIMINI ISHLAB CHIQISH. INTERNATIONAL CONFERENCE ON INTERDISCIPLINARY SCIENCE, 3(3), 297–301. https://doi.org/10.5281/zenodo.19376142
[6] Tokhtasinov M., Obilov B.Video -in pictures in motion objects determination methods about Tashkent information university of technologies Samarkand branch " Digital" technologies and artificial intellect : puzzles , achievements and development prospects " international scientific and practical conference lectures collection October 24-25 , 2025 .
