Abstract
This master's degree project presents a computer vision system for analyzing top-down dronesoccer videos, focusing on two pillars: multi-object tracking (MOT) and automatic camera-to-fieldcalibration. For tracking, we adopt the tracking-by-detection paradigm, where objects are detectedin each frame and associated over time. We employ a You Only Look Once (YOLO) detector tailoredto aerial …