Improving Object Detection Quality in Football Through Super-Resolution Techniques

This study explores the potential of super-resolution techniques in enhancing object detection accuracy in football. Given the sport's fast-paced nature and the critical importance of precise object (e.g. ball, player) tracking for both analysis and broadcasting, super-resolution could offer significant improvements. We investigate how advanced image processing through super-resolution impacts the accuracy and reliability of object detection algorithms in processing football match footage.
Our methodology involved applying state-of-the-art super-resolution techniques to a diverse set of football match videos from SoccerNet, …

accuracy advanced analysis broadcasting cs.ai cs.cv detection football image image processing impacts importance improvements nature processing quality sport study through tracking