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

• Date: 2026
• Main Authors: Semko, Oleksiy, Vinnichuk, Denys
• Format: Article
• Language: Ukrainian
• Published: Kyiv National University of Construction and Architecture 2026
• Subjects: computer vision; convolutional neural networks; classification; tracking of moving objects; dynamic observation
• Online Access: https://es-journal.in.ua/article/view/365045
• Journal Title: 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...