Hybrid method for tracking moving objects in video streams under dynamic observation conditions

• Дата: 2026
• Автори: Semko, Oleksiy, Vinnichuk, Denys
• Формат: Стаття
• Мова: Українська
• Опубліковано: Kyiv National University of Construction and Architecture 2026
• Теми: computer vision; convolutional neural networks; classification; tracking of moving objects; dynamic observation
• Онлайн доступ: https://es-journal.in.ua/article/view/365045
• Назва журналу: Environmental safety and natural resources

A hybrid method for tracking objects in dynamic observation is proposed. Such conditions arise when the camera rotates and changes the zoom factor. The method uses the metadata of the camera position, including pitch, yaw, roll angles and zoom factors. The YOLO v8 artificial convolutional neural net...