This project presents a hybrid object tracking algorithm that combines deep-learning–based object detection model (YOLOv8n) with a classical computer vision tracker (KCF), supported by data-driven ...
Abstract: Object tracking in computer vision is difficult due to occlusion, rapid motion, and changing light. Outdated tracking technologies cause false detections or tracking drift in autonomous ...
Abstract: Unmanned Aerial Vehicles (UAVs) with multi-target tracking technology are of significant importance in various key areas, including the management of modern urban life and military strategic ...
This notebook demonstrates how to set up and run ByteTrack, an advanced object tracking algorithm, using YOLOX as the detection backbone. The process involves cloning the ByteTrack repository, ...